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27,404 Article Results

Prediction Data Processing Scheme using an Artificial Neural Network and Data Clustering for Big Data

10.11591/ijece.v6i1.pp330-336
Se-Hoon Jung , Jong-Chan Kim , Chun-Bo Sim
Various types of derivative information have been increasing exponentially, based on mobile devices and social networking sites (SNSs), and the information technologies utilizing them have also been developing rapidly. Technologies to classify and analyze such information are as important as data generation. This study concentrates on data clustering through principal component analysis and K-means algorithms to analyze and classify user data efficiently. We propose a technique of changing the cluster choice before cluster processing in the existing K-means practice into a variable cluster choice through principal component analysis, and expanding the scope of data clustering. The technique also applies an artificial neural network learning model for user recommendation and prediction from the clustered data. The proposed processing model for predicted data generated results that improved the existing artificial neural network–based data clustering and learning model by approximately 9.25%.
Volume: 6
Issue: 1
Page: 330-336
Publish at: 2016-02-01

Multi-input DC-AC Inverter for Hybrid Renewable Energy Power System

10.11591/ijece.v6i1.pp40-52
Mohd Azman Rosli , Nor Zaihar Yahaya , Zuhairi Baharudin
The objective of this paper is to design a multi-input dc-ac inverter integrated photovoltaic array, wind turbine and fuel cell in order to simplify the hybrid power system and reduce the cost.  The output power characteristics of the photovoltaic array, wind turbine and fuel cell are introduced. The operational principle and technical details of the proposed multi-input dc-ac inverter is then explained. The proposed inverter consists of a three input flyback dc-dc converter and a single phase full bridge dc-ac inverter. The control strategy for the proposed inverter to distribute the power reasonably to the sources and it achieved a priority of the new energy utilization is discussed. This multi-input dc-ac inverter is capable of being operated in five conditions and power delivered to the ac load can be either individually or simultaneously. First to third condition occurs when the power delivered from either renewable energy sources individually, fourth condition happens when power is demanded from two sources simultaneously, and finally when power are available from three sources simultaneously. The proposed inverter has been simulated by employing NI Multisim 12.0 circuit simulator.
Volume: 6
Issue: 1
Page: 40-52
Publish at: 2016-02-01

Design and Simulation for UHF oscillator using SAWR with different schematics

10.11591/ijeecs.v1.i2.pp294-299
M M Elsherbini , M F Elkordy , A M Gomaa
Various schematics for colpitts oscillator with fixed ultra-high frequency using either LC tank circuits or one port surface acoustic wave resonator are presented. Four circuits used to achieve 433.9 MHz oscillating frequency, Two of them using NPN Bipolar junction transistor, while the others using operational amplifier with high speed, gain and accuracy. A comparison between using passive elements as a source of resonance frequency and using SAW resonator is introduced. Another comparison between using an equivalent lumped circuit instead of SAWR package in oscillator design is also introduced. Two different software tools are used to achieve the required simulation. Proteus and ADS tools are used in simulation with AC, S-parameters and hybrid simulation. This paper is considered a direct application for SAW resonators in wide bandwidth ASK Transmitter / Receiver.
Volume: 1
Issue: 2
Page: 294-299
Publish at: 2016-02-01

A Overlapping Carrier Based SPWM for a 5-Level Cascaded H-bridge Multilevel Inverter

10.11591/ijeecs.v1.i2.pp221-228
Kureve D. Teryima , Goshwe Y. Nentawe , Agbo O. David
This paper proposes a switching control for a cascaded H-bridge inverter structure with reduced switches which is used to improve the THD performance of a single phase five level CHB MLI. The multi level inverter is simulated for the conventional carrier overlapping APOD and the proposed carrier overlapping APOD Pulse Width Modulation (PWM) switching control technique. The total harmonic distortion (THD) of the output voltages are observed for both PWM control techniques. The performance of the symmetric CHB MLI is simulated using MATLAB-SIMULINK. It is observed that the proposed carrier overlapping APODPWM provides output with relatively low THD as compared to the conventional carrier overlapping APODPWM.
Volume: 1
Issue: 2
Page: 221-228
Publish at: 2016-02-01

An Interactive Mobile Augmented Reality for Tourism Objects at Purbalingga District

10.11591/ijeecs.v1.i2.pp375-380
Imam Tahyudin , Dhanar Intan Surya Saputra , Haviluddin Haviluddin
This paper presents the development of an interactive mobile Augmented Reality (AR) for tourism promotion with eXtreme programming (XP) at Purbalingga district, Central Java that has many places of tourism attractions such as Owabong, Purbasari Pancuran Mas, Sanggaluri Park and BuperMunjuluhur. By applying the AR concept, it is expected the tourism objects could be enhanced by augmenting the virtual brochures which could be viewed over a mobile device. In this study, mobile device Android platform is used to display interactive brochures of tourism promotioncontaining 3D models, animations, and sounds. The brochure provides information in of real attractions of the tourism objects in Purbalingga district.
Volume: 1
Issue: 2
Page: 375-380
Publish at: 2016-02-01

The Performance of Dynamic-static Spectrum Access Based on Markov Transfer Model

10.11591/ijeecs.v1.i2.pp354-364
Changbiao Xu , Lianjun Zhu
This study presented a non-synchronized random access mechanism that supports dynamic-static spectrum. Generally, the authorized users of two networks (network A and network B) with different frequency bands communicate with each other by using static spectrum. When congestion happened, spectrum holes in their networks can be detected by the opposite networks and then utilized to communicate. Based on queuing theory and Markov transfer model, a user behavior characterized by dynamic-static spectrum access was proposed, and the feasibility of this theoretical model was validated through analog simulation. Thereafter, the theoretical parameters of system performance, like blocking possibility, forced drop-call possibility, and throughput, were measured and compared between dynamic-static mode and unconjugated mode.
Volume: 1
Issue: 2
Page: 354-364
Publish at: 2016-02-01

The Noise Reduction over Wireless Channel Using Vector Quantization Compression and Filtering

10.11591/ijece.v6i1.pp130-138
Iman Elawady , Abdelmounaim Moulay Lakhdar , Khelifi Mustapha
The transmission of compressed data over wireless channel conditions represents a big challenge. The idea of providing robust transmission gets a lot of attention in field of research. In this paper we study the effect of the noise over wireless channel. We use the model of Gilbert-Elliot to represent the channel. The parameters of the model are selected to represent three cases of channel. As data for transmission we use images in gray level size 512x512. To minimize bandwidth usage we compressed the image with vector quantization also in this compression technique we study the effect of the codebook in the robustness of transmission so we use different algorithms to generate the codebook for the vector quantization finally we study the restoration efficiency of received image using filtering and indices recovery technique.
Volume: 6
Issue: 1
Page: 130-138
Publish at: 2016-02-01

Modelling and Design of Inverter Threshold Quantization based Current Comparator using Artificial Neural Networks

10.11591/ijece.v6i1.pp320-329
Veepsa Bhatia , Neeta Pandey , Asok Bhattacharyya
Performance of a MOS based circuit is highly influenced by the transistor dimensions chosen for that circuit. Thus, proper dimensioning of the transistors plays a key role in determining its overall performance.  While choosing the dimension is critical, it is equally difficult, primarily due to complex mathematical formulations that come into play when moving into the submicron level. The drain current is the most affected parameter which in turn affects all other parameters. Thus, there is a constant quest to come up with techniques and procedure to simplify the dimensioning process while still keeping the parameters under check. This study presents one such novel technique to estimate the transistor dimensions for a current comparator structure, using the artificial neural networks approach. The approach uses Multilayer perceptrons as the artificial neural network architectures. The technique involves a two step process. In the first step, training and test data are obtained by doing SPICE simulations of modelled circuit using 0.18μm TSMC CMOS technology parameters. In the second step, this training and test data is applied to the developed neural network architecture using MATLAB R2007b.
Volume: 6
Issue: 1
Page: 320-329
Publish at: 2016-02-01

Optimal DG Placement with the Aim of Profits Maximization

10.11591/ijeecs.v1.i2.pp249-254
Sobhan Dorahaki
Using distributed generation power plants is common due to advantages such as system capacity release, voltage support and reduced energy losses in power networks. Prior to the creation of distributed generation plants (DG), economic calculation is needed in order to find the optimum location. In this study, IEEE 57 bus test system is evaluated using two index of LMP and CP. Then, the optimal location of distributed generation plants is studied in experimental network. Finally, the effects of DG correct location on buses LMP after DG installation is studied.
Volume: 1
Issue: 2
Page: 249-254
Publish at: 2016-02-01

IR and Multi Scale Retinex image Enhancement for Concealed Weapon Detection

10.11591/ijeecs.v1.i2.pp399-405
Nashwan Jasim Hussein , Fei Hu , Hao Hu , Abdalrazak Tareq Rahem
A Concealed Weapon Detection (CWD) had been developed by a large number of researchers and technologies. As a result of the weakness of the infrared images in unique altogether graphic items, infrared and MMW images become inaccurate and insufficient to obviously detectand deal withweaponry objectsin an invisible setting. This article uses Multi Scale Retinex and contrast stretching image processing enhancement techniques to improve the recognition of weapons concealed below attire. Specifically, the focus of the study is on detecting weapons and ammos by enhancing the IR pictures based on image processing techniques. Evaluation techniques were empirically proved to be able to show the enhancement percentage progress.
Volume: 1
Issue: 2
Page: 399-405
Publish at: 2016-02-01

An Effective Cable Sizing Procedure Model for Industries and Commerial Buildings

10.11591/ijece.v6i1.pp34-39
M. Pratap Nair , K. Nithiyananthan
This paper mainly focuses on the cable sizing methods and calculation of electrical cables according to the various international standards. For instance, International Electrotechnical Commission (IEC), National Electrical Code (NEC), British Standard (BS) and Institute of Electrical and Electronics Engineers (IEEE). The basic philosophy underlying any cable sizing calculations are the same. The main objective of this research work is to develop effective cable sizing model for building services.
Volume: 6
Issue: 1
Page: 34-39
Publish at: 2016-02-01

New Stability Conditions for Nonlinear Systems Described by Multiple Model Approach

10.11591/ijece.v6i1.pp177-187
Ameur Sassi , Afef Abdelkrim
This paper studies the global asymptotic stability and the tracking control problem of an uncertain non stationary continuous system described by the multiple model approach. It is based on the construction of a basis of models containing four extreme models and possibility of addition of an average model. Once the basis of models is generated, an operation of fusion of these different models is made to the level of the elementary control law and the partial output using the geometric method. New sufficient conditions for the stability are derived via Lyapunov technique. The matrices of feedback gains and tracking gains are determined while solving systems of LMI constraints (Linear Matrix Inequalities). The case of an unstable continuous nonlinear model of electrical circuit operating in pseudo-periodic system is considered to illustrate the proposed approach.
Volume: 6
Issue: 1
Page: 177-187
Publish at: 2016-02-01

Threshold Computation to Discover Cluster Structure: A New Approach

10.11591/ijece.v6i1.pp275-282
Preeti Mulay
Cluster members are decided based on how close they are with each other. Compactness of cluster plays an important role in forming better quality clusters. ICNBCF incremental clustering algorithm computes closeness factor between every two data series. To decide members of cluster, it is necessary to know one more decisive factor to compare, threshold. Internal evaluation measure of cluster like variance and dunn index provide required decisive factor. in intial phase of ICNBCF, this decisive factor was given manually by investigative formed closeness factors. With values generated by internal evaluation measure formule, this process can be automated. This paper shows the detailed study of various evaluation measuress to work with new incremental clustreing algorithm ICNBCF.
Volume: 6
Issue: 1
Page: 275-282
Publish at: 2016-02-01

Study of BGP Convergence Time

10.11591/ijece.v6i1.pp413-420
Rohit Nilkanth Devikar , D. V. Patil , V. Chandraprakash
Border Gateway Protocol (BGP), a path vector routing protocol, is a widespread exterior gateway protocol (EGP) in the internet. Extensive deployment of the new technologies in internet, protocols need to have continuous improvements in its behavior and operations. New routing technologies conserve a top level of service availability. Hence, due to topological changes, BGP needs to achieve a fast network convergence. Now a days size of the network growing very rapidly. To maintain the high scalability in the network BGP needs to avoid instability. The instability and failures may cause the network into an unstable state, which significantly increases the network convergence time. This paper summarizes the various approaches like BGP policies, instability, and fault detection etc. to improve the convergence time of BGP.
Volume: 6
Issue: 1
Page: 413-420
Publish at: 2016-02-01

Predictable Models and Experimental Measurements for Electric Properties of Polypropylene Nanocomposite Films

10.11591/ijece.v6i1.pp120-129
Ahmed Thabet , Youssef A. Mobarak
This paper processed and characterized cost-fewer polypropylene (PP) nanocomposite films; an experimental work has been investigated for studying the electric properties of the new nanocomposite materials and compared with unfilled industrial materials in a frequency range up to 1 kHz. A small addition of nanoparticles (clay, and fumed silica) to polypropylene showed appreciable improvement in the electric reactance and conductance at different frequency up to 1kHz, in addition, an  electric spectroscopy has been measured the electric properties of polypropylene with and without nanoparticles under variant temperatures (20°C, and 60°C). Cambridge Engineering Selector (CES) program were carried out the electrical/mechanical predictable models for the suggested materials. Finally, this paper leads to synthesize electrical insulating polypropylene nanocomposite films where the electrical properties are properly maintained in order to achieve more cost-effective, energy-effective and hence environmentally better materials for the electrical insulation technology.
Volume: 6
Issue: 1
Page: 120-129
Publish at: 2016-02-01
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