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28,188 Article Results

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 Review on Constant Switching Frequency Techniques for Direct Torque Control of Induction Motor

10.11591/ijeecs.v7.i2.pp364-372
Auzani Jidin , Kasrul Abdul Karim , Khairi Rahim , Logan Raj Lourdes Victor Raj , Sundram Ramahlingam , Tole Sutikno
The Direct Torque Control (DTC) of induction machine has received wide acceptance in many Variable Speed Drive (VSD) applications due to its simple control structure and excellent torque dynamic control performances. However, the conventional DTC which employs a two-level inverter and hysteresis controllers produces two major drawbacks, namely, larger torque ripple and variable switching frequency, which might produce a very high switching frequency (or power loss), particularly at a very low speed operation. This paper highlight the common methods used to provide the constant switching frequency for DTC drives for Induction Motor that able to minimize the power losses and reduced the torque ripple.
Volume: 7
Issue: 2
Page: 364-372
Publish at: 2017-08-01

Efficient Proximity Coupled Feed Rectangular Microstrip Patch Antenna with Reduced Harmonic Radiation

10.11591/ijeecs.v7.i2.pp500-506
Dawit Fistum
This paper presents an efficient proximity coupled feed rectangular microstrip patch antenna with reduced harmonic radiation. The proposed antenna resonates in S-band at frequency of 2.45 GHz with bandwidth of 88.5 MHz. A very good return loss of -47.0546 dB is obtained for the Microstrip patch antenna. The antenna matching can be achieved with an appropriate line-patch overlap, but with a careful design consideration. Not only the good matching of the fundamental mode, but also the effect on the harmonic radiation from the other patch modes has been considered. Varying the length & location of the microstrip feed line and introducing a defect in the ground plane- the harmonic radiation from the other patch mode is reduced to minimum.
Volume: 7
Issue: 2
Page: 500-506
Publish at: 2017-08-01

Dynamic Cryptographic Algorithm to Provide Password Authentication using Cued Click Points

10.11591/ijict.v6i2.pp123-128
P. Ashok
Nowadays, password based authentication is one the most common way of authentication for most of the user logins. However, the advancement in technology also posing many threats for the password authentication systems. Everybody will be keen to know others password. But there exists a very few who is very keen to devise a new authentication. In this paper, we have proposed a more advanced password authentication method yet a simple one which gives a tough competition for the attacker to break the password. For this, we are providing a special key-display interface to assist the modified cued click point’s technique which helps in the more sophisticated dynamic authentication method. This interface helps to break the single password into a combination of 4 passwords and also adds three more password strings to the current password which is entered. It also uses a special one way encryption algorithm called Nesting 93 which is developed explicitly for this system. It helps to prevent almost any kind of attacks.
Volume: 6
Issue: 2
Page: 123-128
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

Stator Inter-turn Fault Detection in Inverter Fed Induction Motor Drives

10.11591/ijape.v6.i2.pp89-102
Khadim Moin Siddiqui , Kuldeep Sahay , V. K. Giri
The Squirrel Cage Induction Motor (SCIM) with advanced power electronic inverters presents the greater advantages on cost and energy efficiency as compared with other industrial solutions for varying speed applications. In recent, the inverter fed induction motors are being popular in the industries. These inverter fed-motors are recently gathering great recognition for multimegawatt industrial drive applications. In this present paper, a dynamic simulation model of PWM inverter fed SCIM with direct torque control jointly has been presented and analyzed in the recent MATLAB/Simulink environment. From the proposed simulation model, the transient behavior of SCIM has been analysed for healthy as well as for stator inter-turn fault condition. The dynamic simulation of induction motor is one of the key steps in the validation of design process of the electric motor and drive system. It is extremely needed for eliminating probable faults beforehand due to inadvertent design mistakes and changes during operation. The simulated model gives encouraging results with reduced harmonics [1]. By using the model, the successful detection of stator inter-turn fault of the SCIM is carried out in the transient condition. Therefore, early stator fault detection is possible and may avoid the motor to reach in the catastrophic conditions. Therefore, may save millions of dollars for industries.
Volume: 6
Issue: 2
Page: 89-102
Publish at: 2017-08-01

A Fast Strategy to determine the Physical and Electrical Parameters of Photovoltaic Silicon Cell

10.11591/ijape.v6.i2.pp103-112
El Hadi Chahid , Mohammed Idali Oumhand , Abdessamad Malaoui
This paper proposes a fast strategy to extract and exploit the electrical parameters of photovoltaic cell using the double-diode model. The polycrystalline silicon (poly-Si) junction is chosen in this work due to the importance of its proprieties in industrial and economic fields. The proposed method to extract the solar cell electrical parameters contains two steps. The first is based on the graphical adjustments to choose the initial values of these parameters, and the second is numerical, using Modified Newton-Raphson’s algorithm. The obtained parameters extractions values are compared to the others methods and give a considerable agreement. Furthermore, we have developed a complementary analytical method to deduce both the minority’s carrier’s lifetime and the diffusion lengths through the diffusion and recombination current densities. The found values of these parameters are precisely comparable with theoretical models, and give very useful informations on the intrinsic quality of the studied cell.
Volume: 6
Issue: 2
Page: 103-112
Publish at: 2017-08-01

Survey of Detection SIP Malformed Messages

10.11591/ijeecs.v7.i2.pp457-465
Mourade Azrour , Mohammed Ouanan , Yousef Farhaoui
Session Initiation Protocol (SIP) is an application layer protocol designed to control and establish multimedia sessions over internet. SIP gaining more and more popularity as it is used by numerous applications such as telephony over IP(ToIP). SIP is a text based protocol built on the base of the HTTP and SMTP protocols. SIP suffers from certain security threats which need to be resolved in order to make it a more efficient signaling protocol. In this work, we review the proposed works aimed to detect SIP malformed messages that can cause security problem. Then, we classify the type of malformed SIP message and compare between the mechanisms used to reinforce the detection of malformed SIP message attack.
Volume: 7
Issue: 2
Page: 457-465
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

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

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

New Optimization Method of the MPPT Algorithm and Balancing Voltage Control of the Three-Level Boost Converter (TLBC)

10.11591/ijape.v6.i2.pp113-122
Hassan Abouobaida , Said El Bied
This paper is dedicated to studying the control of the Three Level Boost Converters (TLBC) and the optimization method of Maximum Power Point Tracking (MPPT) based a variable step. The main objective of the optimization is to find a compromise between the response time and the amplitude of the oscillations around the optimal point. The nonlinear behavior of the TLBC is manifested by the presence of the disturbances. For reasons of simplicity of the control, a linearization based on the dynamic compensation of the disturbance is proposed. On the one hand, a cascaded MPPT algorithm and a simple linear regulator allow adjusting the inductance current and a maximum power operation of the wind system. On the other hand, a second linear regulator ensures balancing of the output voltages. The paper proposes a new approach to the optimization of the Inc-Cond MPPT. The suggested contribution consists of using an exponential function of the power derivative to develop a variable step. The adoption of the variable step size according to the dynamics of the wind system implies a compromise between the response time and the amplitude of the ripples around the optimal point. The simulation results showed that a variable step size, especially in transient conditions and during a very rapid climate change recover the optimum power point within a reasonable time and suitable amplitude of the oscillations. The results achieved in this study show the ability of the proposed approach to extract the maximum power according to the available wind speed while guaranteeing a better efficiency. The developed study is summarized by the following points: (a) modeling the wind conversion systems, (b) detailing the control approach of the TLBC and presenting the variable step method (c) presenting the simulations results and evaluating the perf.
Volume: 6
Issue: 2
Page: 113-122
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

The Evaluated Measurement of a Combined Genetic Algorithm and Artificial Immune System

10.11591/ijece.v7i4.pp2071-2084
Pongsarun Boonyopakorn , Phayung Meesad
This paper demonstrates a hybrid between two optimization methods which are the Artificial Immune System (AIS) and Genetic Algorithm (GA). The novel algorithm called the immune genetic algorithm (IGA), provides improvement to the results that enable GA and AIS to work separately which is the main objective of this hybrid. Negative selection which is one of the techniques in the AIS, was employed to determine the input variables (populations) of the system. In order to illustrate the effectiveness of the IGA, the comparison with a steady-state GA, AIS, and PSO were also investigated. The testing of the performance was conducted by mathematical testing, problems were divided into single and multiple objectives. The five single objectives were then used to test the modified algorithm, the results showed that IGA performed better than all of the other methods. The DTLZ multiobjective testing functions were then used. The result also illustrated that the modified approach still had the best performance.
Volume: 7
Issue: 4
Page: 2071-2084
Publish at: 2017-08-01
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