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27,404 Article Results

Transient Analysis of a Multi-phase Induction Machine Operating as Generator

10.11591/ijeecs.v2.i1.pp79-87
Alok Kumar Mohanty , K B Yadav
Multi-phase machines are considered serious contenders as compared to the three phase machines for variable applications in generating mode. This paper presents the transient performance analysis of a multi-phase induction machine operating in six-phase mode for power generation. In this paper the simulation and experimental analysis of a six-phase machine in generating mode have been made. The simulations are made and the machine functionality was investigated during no-load and when subjected to different types of loads. Experimental results are provided to confirm the ability of these models to represent during no load as well as during load period and the result were found to be satisfactory for power generation.
Volume: 2
Issue: 1
Page: 79-87
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

Applications and Design for a Cloud of Virtual Sensors

10.11591/ijeecs.v2.i1.pp229-240
Ammar Jameel Hussein , Ammar Riadh , Mohammed Alsultan , Abd Al-razak Tareq
The use of sensors in our daily lives is a growing demand with the large number of electronic devices around us. These sensors will be included in our daily life requirements soon and they will affect our lives in both positive and negative ways. In this paper, we discuss the manner, applications and design issues for a cloud of virtual sensors, and we introduce a distributed system design to deal with physical sensors that reside in diverse locations and operate in different environments. This design operates in a cloud computing vision and can make virtual sensors in upper of physical one available from anywhere using ICT structure. Then, we negotiated the future of this technology, i.e., the Internet of Things (IoT). Additionally, we go over the strengths and weaknesses of using this technology. Our test lab shows high performance and good total cost of ownership and effective response time.
Volume: 2
Issue: 1
Page: 229-240
Publish at: 2016-04-01

Background Modeling to Detect Foreground Objects Based on ANN and Spatio-Temporal Analysis

10.11591/ijeecs.v2.i1.pp151-160
N. Satish Kumar , Shobha G
This paper presented an approach to building background model for moving object detection using unsupervised Artificial Neural Network (ANN) without any prior knowledge about foreground objects. First, using Local Binary Pattern (LBP) which is texture feature, builds a statistical Background Model using ANN, then, comparing the behavior of next incoming frame with model and decide each pixel whether is deviating from a model or not. And based on if method detects foreground objects then background model is updated to make this model adaptive. Also, spatial-temporal information has been exploited in this method to suppress sudden illumination variation and to suppress false foreground pixels.  It was demonstrated and proved, by qualitative and quantitative metrics that the newly presented approach is adaptive, generic and can address all issues and challenges for background subtraction. To evaluate the performance of the presented approach this paper compared with recent approaches by using standard metrics and proved that presented method outperforms many existing recent approaches.
Volume: 2
Issue: 1
Page: 151-160
Publish at: 2016-04-01

A New All-Optical Signal Regeneration Technique for 10 GB/S DPSK Transmission System

10.11591/ijece.v6i2.pp859-869
Bhagwan Das , Mohammad Faiz Liew Abdullah , Nor Shahida Mohd Shah
The transmission of high power inside the optical fiber, produce amplitude noise, phase noise and other transmission impairments that degrade the performance of optical communication system. The signal regeneration techniques are used to mitigate these nonlinear impairments in the electrical or in the optical domain. All-optical signal regeneration techniques are one of the solutions to mitigate these nonlinear transmission impairments in the optical domain without converting the signal from optical to electrical domain. The existing techniques are not capable enough to attain the Bit Error Rate (BER) less than 10-10 with the power penalty less than – 9dBm. In this paper, a new all-optical signal regeneration technique is developed that mitigate amplitude and phase noises in the optical domain. The new optical signal regeneration technique is developed by combining the two existing technique one is 3R (Reshaping, Reamplification and Retiming) regeneration and other is Phase Sensitive Amplification (PSA). The 10Gb/s Differential Phase shift Keying (DPSK) noisy transmission system is used to verify the features of developed technique. The developed technique successfully mitigates the nonlinear impairments from the noisy DPSK system with significant improvement in BER at low power penalty with the additional feature of high Q-factor and an eye open response for the regenerated signal. It is determined that BER of 10-12 is achieved at the power penalty of -14 dBm with Q-factor of 42 and an eye opened response. The developed technique in the DPSK system is realized using commercial software package Optisystem. The designed technique will be helpful to enhance the performance existing high-speed optical communication by achieving the minimum BER at low power penalty.
Volume: 6
Issue: 2
Page: 859-869
Publish at: 2016-04-01

High Performance Vector Control of 3-Phase IM Drives under Open-Phase Fault Based on EKF for Rotor Flux Estimation

10.11591/ijece.v6i2.pp458-467
Mohammad Jannati , Tole Sutikno , Nik Rumzi Nik Idris , Mohd Junaidi Abdul Aziz
This paper proposes a novel flux observer based on Extended Kalman Filter (EKF) for high performance vector control of 3-phase Induction Motor (IM) drives under stator winding open-phase fault. The presented flux estimation combines the Indirect Rotor Field-Oriented Control (IRFOC) method. The rotor flux is obtained from two modified EKF with two different stator currents (forward and backward stator currents). The proposed technique can significantly reduce the DC-offset problem on the pure integrator associated with the basic IRFOC method. The Matlab simulation results confirm the validity of the proposed strategy.
Volume: 6
Issue: 2
Page: 458-467
Publish at: 2016-04-01

Speed Control of a Single Taipei Mass Rapid Transit System Train by Using a Single Input Fuzzy Logic Controller

10.11591/ijece.v6i2.pp621-629
Hari Maghfiroh , Oyas Wahyunggoro , Adha Imam Cahyadi , Kuo Lung Lian , Bwo Ren Ke
The purpose of this study was to design a speed controller for mass rapid transit (MRT) train by using a single input fuzzy logic controller (SIFLC). A complete train model, which was designed according to the design of a Taipei MRT train was used for analyzing both mechanical and electrical parts. The SIFLC was used for improving a fuzzy logic controller (FLC) by reducing its number of control rules. The results indicated that the SIFLC exhibited more favorable performance than the FLC did and a substantial reduction in the number of fuzzy rules and processing time. Therefore, tuning the SIFLC was easier compared with tuning the FLC; furthermore, the simulation time of the SIFLC was shorter than that of the FLC, exhibiting reductions of up to 17.3% in a constant track (track without gradient and curvature) and up to 12.27% in a variable track (track with gradient and curvature).
Volume: 6
Issue: 2
Page: 621-629
Publish at: 2016-04-01

HASBE access control model with Secure Key Distribution and Efficient Domain Hierarchy for cloud computing

10.11591/ijece.v6i2.pp770-777
RajaniKanth Aluvalu , Vanraj Kamliya , Lakshmi Muddana
Cloud computing refers to the application and service that run on a distributed system using virtualized resources and access by common internet protocol and networking standard. Cloud computing virtualizes system by pooling and sharing resources. System and resources can be monitored from central infrastructure as needed. It requires high security because now day’s companies are placing more essential and huge amount of data on cloud. Hence traditional access control models are not sufficient for cloud computing applications. So encryption based on Attribute (“ABE”-“Attribute based encryption”) has been offered for access control of subcontracted data in cloud computing with complex access control policies. Traditional HASBE provides Flexibility, scalability and fine-grained access control but does not support hierarchical domain structure. In this paper, we had enhanced “Hierarchical attribute-set-based encryption” (“HASBE”) access control with a hierarchical assembly of users, with flexible domain Hierarchy structure and Secure key distribution with predefined policy
Volume: 6
Issue: 2
Page: 770-777
Publish at: 2016-04-01

Robust Backstepping Tracking Control of Mobile Robot Based on Nonlinear Disturbance Observer

10.11591/ijece.v6i2.pp901-908
Mahmood Ali Moqbel Obaid , Abdul Rashid Husain , Ali Abdo Mohammed Al-kubati
This paper presents a robust backstepping control (BC) method based on nonlinear disturbance observer (NDOB) for trajectory tracking of the nonholonomic wheeled mobile robot (WMR) in the presence of external disturbances and parameters uncertainties. At first, a bounded Fuzzy logic based backstepping controller (BFLBC) is designed to control the WMR without considering the effects of the external disturbances and the parameters uncertainties. Typically, the conventional BC controller depends upon the state tracking errors analysis, where unbounded velocity signal is produced for the applications that have huge tracking errors. Therefore, a fuzzy logic controller (FLC) is introduced in this research in order to normalize the state tracking errors, so that the input errors to the BC are bounded to a finite interval. Finally, the designed BFLBC is integrated with the nonlinear disturbance observer in order to attenuate the external disturbances and model uncertainties. The simulation results show the effectiveness of the proposed controller to generate a bounded velocity signal as well as to stabilize the tracking errors to zero. In addition, the results prove that the proposed controller provide an excellent disturbance attenuation as well as robustness against the parameters uncertainties.
Volume: 6
Issue: 2
Page: 901-908
Publish at: 2016-04-01

A Review on Photo Voltaic MPPT Algorithms

10.11591/ijece.v6i2.pp567-582
Saravana Selvan , Pratap Nair , Umayal Umayal
A photovoltaic generator exhibits nonlinear voltage-current characteristics and its maximum power point varies with solar radiation and cell temperature. A Dc/Dc power converter is used to match the photovoltaic system to the load and to operate the PV (photo voltaic) cell array at maximum power point. Maximum Power Point Tracking (MPPT) is a process which tracks one maximum power point from PV array input, varying the ratio between the voltage and current delivered to get the most power it can. There are different techniques proposed with lot of algorithms are being used in the MPPT controller to extract the maximum power. It is very difficult for the photo voltaic designers, researchers and academic experts to select a particular MPPT technique for a particular application which requires the background knowledge and comparative features of various MPPT algorithms. This paper will be avaluable source for those who work in the photo voltaic generation, so its objective is to review the main MPPT algorithms in practice and analyzes the merits and demerits with various factors.
Volume: 6
Issue: 2
Page: 567-582
Publish at: 2016-04-01

Resolving the Issues of Capon and APES Approach for Projecting Enhanced Spectral Estimation

10.11591/ijece.v6i2.pp725-734
Kantipudi MVV Prasad , H.N. Suresh
There are various applications on signal processing that is highly dependent on preciseness and accuracy of the outcomes in spectrum of signals. Hence, from the past two decades the research community has recognized the benefits, significance, as well as associated problems in carrying out a model for spectral estimation. While in-depth investigation of the existing literatures shows that there are various attempts by the researchers to solve the issues associated with spectral estimations, where majority of teh research work is inclined towards addressing problems associated with Capon and APES techniques of spectral analysis. Therefore, this paper introduces a very simple technique towards resolving the issues of Capon and APES techniques. The outcome of the study was analyzed using correlational factor and power spectral density to find the proposed system offers better spectral estimations compared to existing system.
Volume: 6
Issue: 2
Page: 725-734
Publish at: 2016-04-01

Soft Systems Methodology (SSM) as a Viable Methodology for Knowledge Engineering: A Literature Review

10.11591/ijict.v5i1.pp1-10
Franklyn Chukwunonso
This paper presents a baseline perspective of knowledge engineering (KE) methodologies by taking a critical look at the methodological approaches currently used in knowledge engineering domain. A literature review bordering on; the knowledge role concept, knowledge elicitation techniques, and ontological approaches employed in knowledge engineering for the construction of knowledge-based systems (KBSs) was carried out. Journal and conference articles were sourced from multiple journals and research databases and a multi-step manual cross-checking based on carefully selected extraction and quality criteria were employed. The findings of the study show that the existing methodological approaches employed for constructing KBSs in KE is highly deficient and inefficient for solving KE problems under dynamic and uncertain environments. The paper concludes by presenting a strong argument as to why soft systems methodology is best suited for constructing knowledge base systems (KBS) in a spatially distributed, unstructured and shared domain specific context.
Volume: 5
Issue: 1
Page: 1-10
Publish at: 2016-04-01

Optimal Location of Distributed Generation and its Impacts on Voltage Stability

10.11591/ijece.v6i2.pp504-511
Manoj Kumar Nigam , V.K. Sethi
Distributed generation (DG) technology is based on the renewable sources of energy. Now a day’s distributed generation plays an important role of power generation utilities to fulfill the increasing demand of power at the costumer’s site. A distributed generation is the small generation unit with capacity varying from kW (kilowatt) to few MW (megawatt). The main aim of this paper is to find the solution for optimal location of connecting DG and also the disturbances in the voltage fluctuations responds to imperfection of connecting DG. A test network of IEEE-30 bus system has been simulated using PSAT 2.1.7. The compensation methods have also been developed for filtering out the disturbances caused by the DG connection. The disturbance in the voltage profile is improved by minimizing the real and reactive power losses with the help of STATCOM. The proposed approach IEEE-30-bus system was tested and the result was discussed.
Volume: 6
Issue: 2
Page: 504-511
Publish at: 2016-04-01

A Hybrid Approach of Fuzzy C-means Clustering and Neural network to make Energy-Efficient heterogeneous Wireless Sensor network

10.11591/ijece.v6i2.pp674-681
Amit Kumar Kaushik
The Wireless sensor network has been highly focused research area in recent times due to its wide applications and adaptability to different environments. The energy-constrained sensor nodes are always under consideration to increase their lifetime. In this paper we have used the advantages of two approaches i.e. fuzzy c-means clustering and neural network to make an energy efficient network by prolonging the lifetime of network. The cluster formation is done using FCM to form equally sized clusters in network and the decision of choosing cluster head is done using neural network having input distance from basestation, heterogeneity and energy of the node. Our Approach has successfully increased the lifetime and data capacity of the network and outperformed different approaches applied to the network present in literature.
Volume: 6
Issue: 2
Page: 674-681
Publish at: 2016-04-01

Experiment-based Study on the Impact of Soiling on PV System’s Performance

10.11591/ijece.v6i2.pp810-818
Wan Juzaili Jamil , Hasimah Abdul Rahman , Kyairul Azmi Baharin
Soiling refers to the accumulation of dust on PV modules which plays a small but significant role in degrading solar photovoltaics system efficiency. Its effect cannot be generalized because the severity is location and environment dependent. Currently, there are limited studies available on the soiling effect in the hot and humid Malaysian tropical climate. This paper presents an experimental-based approach to investigate the effect of soiling on PV module performance in a tropical climate. The experiment involved a full day exposure of a polycrystalline PV module in the outdoors with accelerated artificial dust loading and an indoor experiment for testing variable dust dimensions. The findings show that for the worst case, the module’s output can be reduced by as much as 20%.
Volume: 6
Issue: 2
Page: 810-818
Publish at: 2016-04-01
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