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28,269 Article Results

A Preliminary Performance Evaluation of K-means, KNN and EM Unsupervised Machine Learning Methods for Network Flow Classification

10.11591/ijece.v6i2.pp778-784
Alhamza Alalousi , Rozmie Razif , Mosleh AbuAlhaj , Mohammed Anbar , Shahrul Nizam
Unsupervised leaning is a popular method for classify unlabeled dataset i.e. without prior knowledge about data class. Many of unsupervised learning are used to inspect and classify network flow. This paper presents in-deep study for three unsupervised classifiers, namely: K-means, K-nearest neighbor and Expectation maximization. The methodologies and how it’s employed to classify network flow are elaborated in details. The three classifiers are evaluated using three significant metrics, which are classification accuracy, classification speed and memory consuming. The K-nearest neighbor introduce better results for accuracy and memory; while K-means announce lowest processing time.
Volume: 6
Issue: 2
Page: 778-784
Publish at: 2016-04-01

New Classifier Design for Static Security Evaluation Using Artificial In-telligence Techniques

10.11591/ijece.v6i2.pp870-876
Ibrahim Saeh , Wazir Mustafa , Nasir Al-geelani
This paper proposes evaluation and classification classifier for static security evaluation (SSE) and classifica-tion. Data are generated on (30, 57, 118 and 300) bus IEEE test systems used to design the classifiers. The implementation decision tree methods on several IEEE test systems involved appropriateness SSE and classi-fication by using four algorithms of DT’s. Empirically, with the present of FSA, the implementation results indicate that these classifiers have the capability for system security evaluation and classification. Lastly, FSA is efficient and effective approach for real-time evaluation and classification classifier design.
Volume: 6
Issue: 2
Page: 870-876
Publish at: 2016-04-01

Comparative Assessment on Linearity Test based V2π and Vπ/2 Voltage Variations of Closed Loop IFOG

10.11591/ijece.v6i2.pp583-595
T. Sireesha , K. Krishna Murthy
Interferometric Fiber Optic Gyroscope (IFOG) has to operate in closed loop condition to achieve inertial grade performance. The closed loop system is mainly depends upon the amplitude of the ramp signal (V2π of IOC) and bias (square wave) signal frequency (fbias). The digital phase ramp function is given as feedback to the optical system and makes gyro to null condition. The peak-to-peak amplitude (Vπ/2) of biasing signal is one-fourth of the ramp amplitude (V2π). If there are any variations in the amplitude of the ramp and biasing signals, then it introduces variations in the gyro performance. In this paper, a comparative discussion made in the gyro parameters for three cases: (i) V2π (vary) & Vπ/2 (constant), (ii) Vπ/2 (vary) & V2π (constant) and (iii) both V2π and Vπ/2 are varying simultaneously. The effects on gyroscope are described with the derived values in terms of linearity. From the experimental results, it was observed that the gyro output is very sensitive with respect to V2π variations and obtained the percentage error of 10% in gyro output, but very less effect due to Vπ/2 variations. So, the proper resetting of ramp voltage (V2π) is required to avoid nonlinearities and instabilities in gyro output.
Volume: 6
Issue: 2
Page: 583-595
Publish at: 2016-04-01

Sufficient Authentication for Energy Consumption in Wireless Sensor Networks

10.11591/ijece.v6i2.pp735-742
Hema Gopinath Sukavasi , Lokesh Kanagala , Riaz Shaik
Given the understanding of the prospective WSN programs and because of source restrictions, key management emerges as a complicated problem for WSNs. One of the main issues when developing a key management scheme is the system scalability. Indeed, the method should assistance a huge number of nodes to allow a large range implementation of the system. In this paper we implemented a performance trade-off research of power intake vs. Quality of Solutions obtain in stability, suitability, and security for redundancy control of clustered heterogeneous wireless indicator systems using multipath routing to response customer concerns. We urbanized a novel probability style to evaluate the best redundancy stage in terms of direction redundancy (mp ) and resource redundancy (ms), as well as the best attack identification configurations with regards to the number of voters (m) and the attack incantation interval under which the life-time of a heterogeneous wireless sensor network is optimized while fulfilling the stability, timeliness and protection specifications of question processing applications in the existence of untrustworthy wireless communication and harmful nodes. Lastly, we used our analysis outcomes to the style of powerful redundancy management criteria to recognize and implement the best design parameter configurations at playback in reaction to environment changes to extend the program life-time
Volume: 6
Issue: 2
Page: 735-742
Publish at: 2016-04-01

Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage

10.11591/ijece.v6i2.pp827-834
Nasir A. Al-geelani , M. Afendi M. Piah , Ibrahim Saeh , Nordiana Azlin Othman , Fatin Liyana Muhamedin , N. F. Kasri
A Partial Discharge (PD) is an unwanted phenomenon in electrical equipment. Therefore it is of great importance to identify different types of PD and assess their severity. This paper investigates the acoustic emissions associated with Internal Discharge (ID) from different types of sources in the time-domain. An experimental setup was arranged in the high voltage laboratory, a chamber with an electrode configuration attached to it was connected to a high voltage transformer for generating various types of PD. A laboratory experiment was done by making the models of these discharges. The test equipment including antennas as a means of detection and digital processing techniques for signal analysis were used. Wavelet signal processing was used to recover the internal discharge acoustic signal by eliminating the noises of many natures.
Volume: 6
Issue: 2
Page: 827-834
Publish at: 2016-04-01

Improved Performance of Four Switch Three Phase with SEPIC-Based Inverter

10.11591/ijeecs.v2.i1.pp96-106
Prabu B , Murugan M
The proposed novel four-switch three-phase (FSTP) inverter is to design to reduce the rate, difficulty, mass, and switching losses of the DC-AC conversion system. Here the output line voltage cannot exceed half the input voltage in the out-dated FSTP inverter and it operates at half the DC input voltage. Single-Ended Primary-Inductance Converter (SEPIC) is a novel design for the FSTP inverter proposed in this paper. In this proposed topology the necessity of output filters is not necessary for the pure sinusoidal output voltage. Related to out-dated FSTP inverter, the proposed FSTP SEPIC inverter raises the voltage utilization aspect of the input DC supply, where the suggested topology delivers the higher output line voltage which can be extended up to the full value of the DC input voltage. In the proposed topology a control used called the integral sliding-mode (ISM) control and this control is used to enhance its dynamics and to ensure strength of the system during different operating conditions. Simulation model and results are used to authorise the proposed concept and simulations results show the effectiveness of the proposed inverter.
Volume: 2
Issue: 1
Page: 96-106
Publish at: 2016-04-01

Frequency and Time Response of Power Plant Grounding System Exposed to Lightning Strike

10.11591/ijece.v6i2.pp512-525
Srete N Nikolovski , Zoran Baus , Goran Knežević
This paper examines the frequency response of power plant grounding system exposed to the lightning current. Large amount of current generated by the stroke flow in the grounding system of power plant and dissipate in the soil.  The electric and magnetic field generated by such high voltages and currents may cause damage of equipment and may be dangerous for the personnel in power plant.  For the every given frequency obtained using Fast Fourier Transformation (FFT) of lightning current impulse, electromagnetic field theory approach is used to solve Maxell’s equation and compute scalar potential, electric and magnetic field. Also, the influence of the point in which lightning current is diffused in the grounding system is presented. Three dimensional plots of spatial distribution of scalar potential, electric and magnetic field are presented. The time domain response of scalar potential, electric and magnetic field on one profile is also presented.
Volume: 6
Issue: 2
Page: 512-525
Publish at: 2016-04-01

Components and Analysis Method of Enterprise Resource Planning (ERP) Requirements in Small and Medium Enterprises (SMEs)

10.11591/ijece.v6i2.pp682-689
Yousef Khaleel , Anmar Abuhamdah , Mutaz Abu Sara , Bassam Al-Tamimi
With the fast development of information technologies and enterprise software, Enterprise Resource Planning (ERP) systems are increasingly adopted by more small and medium enterprises (SMEs). Based on this trend, it is necessary to develop ERP systems in a manner that meets and fits the SMEs requirements and needs. This paper proposes conceptual components of ERP requirements that are required for generating ERP system functions. In addition, it proposes an ERP requirements analysis method for ERP system developments in order to produce the proper ERP system functions for SMEs. The advantage of this analysis method is that it is easy to analyze and integrate the special requirements of the ERP development for distinguishing a sub-sector of SMEs. In this paper, by analyzing the components of requirements and the relationship of the business process modelling, several basic concepts are given and the method of the process analysis and modelling is also expressed.
Volume: 6
Issue: 2
Page: 682-689
Publish at: 2016-04-01

Visual and Surface Properties of CdTe Thin Films on CdS/FTO Glass Substrates

10.11591/ijece.v6i2.pp468-473
Ramya K , Yuvaraja T
Cadmium telluride (CdTe) thin film material was deposited ontop of Cadmium Sulfide (CdS) substrate using vacuum evaporation technique. The sample was characterized using X-ray diffraction(XRD) and UV-VIS-NIR spectroscopy. XRD studies revealed that the sample was polycrystalline in nature. The SEM image showed that the sample is columnar in structure and the grains are uniform. Optical band gap of the CdTe thin film was estimated from transmittance and reflectance data and it was found 1.53eV.The structural, optical and surface properties of the film showed that the CdTe thin film materials can be used for fabrication of CdTe thin film solar cell.
Volume: 6
Issue: 2
Page: 468-473
Publish at: 2016-04-01

Effect of Contaminant Flow-rate and Applied Voltage on the Current Density and Electric Field of Polymer Tracking Test

10.11591/ijece.v6i2.pp819-826
F. L. Muhamedin , M. A. M. Piah , N. A. Othman , Nasir Ahmed Algeelani
Electrical failure due to surface discharge on the insulation material will cause material degradation and eventually lead to system failure. The flow of leakage current (LC) on the insulator surface under wet contamination is used to determine the material degradation level. According to IEC 60587 standard, LC exceeding 60 mA for more than two seconds is considered as failure. In this study, the  electric field and current density distributions on the linear low-density polyethylene (LLDPE) and natural rubber blend material have been analyzed using finite element method (FEM) analysis. The physical parameters used in FEM simulation were applied with voltage and contaminant flow rate, in accordance to contaminant conductivity. Tracking test condition according to IEC 60587 standard has been applied as proposed by the reference work in simulation using QuickField FEM software. The results show that the electric field and current density would become critical in higher applied voltage and contaminant flow rate. The highest average and highest maximum current density and electric field are found in both applied voltage of 6 kV and contaminant flow rate of 0.90 mlmin-1.
Volume: 6
Issue: 2
Page: 819-826
Publish at: 2016-04-01

An Enhanced Symmetrical Fault Detection during Power Swing/Angular Instability using Park’s Transformation

10.11591/ijeecs.v2.i1.pp23-31
Jeevitha A , Devi S
Power systems are subjected to a wide range of small or large disturbances during operating conditions. Power system disturbances such as line switching, generator disconnection and sudden removal of faults causes oscillations in an electrical machine rotor angles that can result in severe power swings. Depending on the protection controls, the system may remain stable or unstable and it may result in loss of synchronism. In recent years, distance relay finds difficulty between symmetrical fault and power swing which causes undesired tripping of the transmission line is the foremost reason for blackout. This paper proposes a new method Park’s Transformation and Fast Fourier Transform which are used to discriminate between the three phase fault and power swing and also to protect the backup zone of distance relay. This method is verified for normal and abnormal conditions with different load angles and different fault locations in IEEE 6-bus system are simulated in MATLAB/ Simulink. The Simulation results show the capability to avoid unwanted tripping decision of relay quickly and precisely.
Volume: 2
Issue: 1
Page: 23-31
Publish at: 2016-04-01

Bridgeless Isolated Cuk PFC Implementation using PID and Neural Controller

10.11591/ijeecs.v2.i1.pp88-95
R. Pireethi , R. Balamurugan
 The comparision of Bridgeless  Isolated Cuk converter using Proportional  Integral  Derivative (PID) and Neural controller (NC) is presented in this paper. Due to Diode Bridge Rectifier (DBR) conventional converters suffer from high conduction loss. Bridgeless Cuk converter is used  to eliminate the issues. Bridgeless   Isolated (BLI)  Cuk  converter is used to withstand high voltage. Compare to Continuous Conduction Mode (CCM) Discontinuous Conduction Mode (DCM) utilize less number of sensors. To obtain unity power factor it is used to  work in  DCM mode. BLI Cuk Converter is implemented in  two controller PID and  Neural controller to observe  power factor. Performance of BLDC motor  is simulated  by using MATLAB/SIMULINK software. 
Volume: 2
Issue: 1
Page: 88-95
Publish at: 2016-04-01

Perform Measuring by Using Image Processing

10.11591/ijict.v5i1.pp36-44
Sundus Khaleel Ebraheem
The development of ability of the computer leads to improve the abilities of digital image processing, because of the traditional measuring work needs much effort in the site for different fields, and has its difficulties and shortcoming points; therefore this paper introduces improvement for the method to solve the measuring problem, by using digital image processing. This paper improved the system of perform measuring of material for buildings by calculating the volume furthermore the area and dimensions for any position was pointed by the user. The improvement involved in addition to that correction the position of pointed point in case of zooming. The system was designed by using MATLAB R2012b language. The system has implemented on different images and different dimensions as well as on video, it showed accurate results in calculating specific dimensions, areas and volume which defined by the user in the image.
Volume: 5
Issue: 1
Page: 36-44
Publish at: 2016-04-01

Induction Motors Stator Fault Analysis based on Artificial Intelligence

10.11591/ijeecs.v2.i1.pp69-78
Hussein Taha Hussein , Mohamed Ammar , Mohamed Moustafa Hassan
This article presents a method for fault detection and diagnosis of stator inter-turn short circuit in three phase induction machines. The technique is based on the stator current and modelling in the dq frame using an Adaptive Neuro-Fuzzy artificial intelligence approach. The developed fault analysis method is illustrated using MATLAB simulations. The obtained results are promising based on the new fault detection approach.
Volume: 2
Issue: 1
Page: 69-78
Publish at: 2016-04-01

Energy Efficiency in Cognitive Radio Network: Green Technology Towards Next Generation Networks

10.11591/ijict.v5i1.pp45-50
Seetaiah Kilaru , Adithya gali
Energy efficiency of mobile network is always a challenging task. From the past decade, it is observable that the users who are using multimedia services are increasing in rapid way. These multimedia applications require higher data rates. High data rates will consume more energy of mobile network, which results poor energy efficiency. To meet higher data rates and to achieve energy efficiency, Cognitive Mobile Network with small cell model was explained in this paper. Dynamics of the power grid also have significant impact on mobile networks, hence smart grid implementation was proposed instead of traditional power grid. Most of the existed studies on cognitive mobile network focussed on spectrum sensing only. This paper focussed on cognitive radio network implementation by considering spectrum sensing and smart grid environment. An iterative algorithm was proposed to attain equillibrium condition to the problem. Interference management and energy efficient power allocation were achieved with the introduction of smart grid. Simulation results proved that optimum power allocation and energy efficiency are possible with the introduction of smart grid in cognitive network.
Volume: 5
Issue: 1
Page: 45-50
Publish at: 2016-04-01
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