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27,860 Article Results

A Novel Optimization towards Higher Reliability in Predictive Modelling towards Code Reusability

10.11591/ijece.v7i5.pp2855-2862
Manoj H.M. , Nandakumar A.N.
Although, the area of software engineering has made a remarkable progress in last decade but there is less attention towards the concept of code reusability in this regards.Code reusability is a subset of Software Reusability which is one of the signature topics in software engineering. We review the existing system to find that there is no progress or availability of standard research approach toward code reusability being introduced in last decade. Hence, this paper introduced a predictive framework that is used for optimizing the performance of code reusability. For this purpose, we introduce a case study of near real-time challenge and involved it in our modelling. We apply neural network and Damped-Least square algorithm to perform optimization with a sole target to compute and ensure highest possible reliability. The study outcome of our model exhibits higher reliability and better computational response time.
Volume: 7
Issue: 5
Page: 2855-2862
Publish at: 2017-10-01

Evaluation of Standard Reference Environment for Photovoltaic Nominal Operating Cell Temperature Testing in Malaysia

10.11591/ijeecs.v8.i1.pp245-252
M. M. M. Hanifah , H. Zainuddin , M. Z. Hussin
This paper presents six months evaluation in determining Standard Reference Environment (SRE) for Photovoltaic (PV) Nominal Operating Cell Temperature (NOCT) testing of IEC61215 and IEC61646 that suits Malaysian climate. The SRE is established based on the median environmental conditions in Malaysia when solar PV is producing power. The site of the study is located at the Energy and Environment Field Lab, Universiti Teknologi MARA (UiTM) Shah Alam(3.066239ºN, 101.491685ºE). Three types of PV module technologies involved are monocrystalline, polycrystalline and copper indium diselenide (CIS) thin film. The experimental setup is a test bed that meets the IEC61215, IEC61646 and IEC61724 requirements. The measurements of        module temperature (MT) and open circuit voltage (VOC) are taken simultaneously for the three PV module technologies together with other ambient parameters of solar irradiance(SI), ambient temperature(AT), relative humidity(RH), wind speed (Ws) and wind direction(Wd). The data set is taken for a six months period from February 2017 to July 2017. Based on the results obtained, a new proposed SRE of NOCT testing for IEC61215 and IEC61646 has been established to suit Malaysian climate. The SI and AT values for the SRE are 300W/m2 and 31°C respectively.
Volume: 8
Issue: 1
Page: 245-252
Publish at: 2017-10-01

Current Comparison Domino based CHSK Domino Logic Technique for Rapid Progression and Low Power Alleviation

10.11591/ijece.v7i5.pp2468-2473
J. Muralidharan , P. Manimegalai
The proposed domino logic is developed with the combination of Current Comparison Domino (CCD) logic and Conditional High Speed Keeper (CHSK) domino logic. In order to improve the performance metrics like power, delay and noise immunity, the redesign of CHSK is proposed with the CCD. The performance improvement is based on the parasitic capacitance, which reduces on the dynamic node for robust and rapid process of the circuit. The proposed domino logic is designed with keeper and without keeper to measure the performance metrics of the circuit. The outcomes of the proposed domino logic are better when compared to the existing domino logic circuits. The simulation of the proposed CHSK based on the CCD logic circuit is carried out in Cadence Virtuoso tool.
Volume: 7
Issue: 5
Page: 2468-2473
Publish at: 2017-10-01

A Mixed Binary-Real NSGA II Algorithm Ensuring Both Accuracy and Interpretability of a Neuro-Fuzzy Controller

10.11591/ijece.v7i5.pp2614-2626
Faouzi Titel , Khaled Belarbi
In this work, a Neuro-Fuzzy Controller network, called NFC that implements a Mamdani fuzzy inference system is proposed. This network includes neurons able to perform fundamental fuzzy operations. Connections between neurons are weighted through binary and real weights. Then a mixed binary-real Non dominated Sorting Genetic Algorithm II (NSGA II) is used to perform both accuracy and interpretability of the NFC by minimizing two objective functions; one objective relates to the number of rules, for compactness, while the second is the mean square error, for accuracy. In order to preserve interpretability of fuzzy rules during the optimization process, some constraints are imposed. The  approach  is  tested  on  two  control examples:  a single  input  single  output (SISO) system  and  a  multivariable (MIMO) system.
Volume: 7
Issue: 5
Page: 2614-2626
Publish at: 2017-10-01

Online Expert Systems For Bamboo Identification Using Case Based Reasoning

10.11591/ijece.v7i5.pp2766-2772
Endina Putri Purwandari , Ariefa Primair Yani , Ramanda Sugraha , Kurnia Anggriani , Endang Widi Winarni
Bamboo is a typical plant that thrives in tropical countries like Indonesia. The diversity of bamboo species makes difficult to classified, then requiring the expertise from specialist who understands deeply about bamboo characteristics. The paper purpose to (1) adopts the bamboo expert knowledge into bamboo criteria of expertise; (2) implementing Case Based Reasoning method in online expert system for bamboo identification in Bengkulu Province; and (3) determined the identification accuracy of bamboo using expert systems. The system uses Case Based Reasoning with four main steps: retrieve, reuse, revise, and retain. Bamboo expert identify bamboo criteria into 6 morphology, 31 features, and 219 attributes as an input system. The results showed that the Case Based Reasoning method has high accuracy for identifying the bamboo species and can solve the problem of bamboo identification as a new case based on old case that stored in the base case.
Volume: 7
Issue: 5
Page: 2766-2772
Publish at: 2017-10-01

Modeling of Dynamical System Piloted by Discrete Subsystem Based on Bond Graph Approach

10.11591/ijece.v7i5.pp2902-2910
Ben Salem J , Lakhoua M.N. , El Amraoui L
This paper is a contribution to the analysis and modeling of a mechatronic system with dynamic behavior that is controlled by a digital computer. In this paper, a bibliographic research on mechatronic systems is presented by specifying a case study of the Anti-lock Braking System (ABS). Then, a methodology of systemic modeling of the ABS system based on two methods Structured Analysis Design Technique (SADT) and bond graph (BG) is proposed. The model created is validated with three software programs:  CarSim, 20 Sim and Simulink.
Volume: 7
Issue: 5
Page: 2902-2910
Publish at: 2017-10-01

Development of Acoustical Feature Based Classifier Using Decision Fusion Technique for Malay Language Disfluencies Classification

10.11591/ijeecs.v8.i1.pp262-267
Raseeda Hamzah , Nursuriati Jamil , Rosniza Roslan
Speech disfluency such as filled pause (FP) is a hindrance in Automated Speech Recognition as it degrades the accuracy performance. Previous work of FP detection and classification have fused a number of acoustical features as fusion classification is known to improve classification results. This paper presents new decision fusion of two well-established acoustical features that are zero crossing rates (ZCR) and speech envelope (ENV) with eight popular acoustical features for classification of Malay language filled pause (FP) and elongation (ELO). Five hundred ELO and 500 FP are selected from a spontaneous speeches of a parliamentary session and Naïve Bayes classifier is used for the decision fusion classification. The proposed feature fusion produced better classification performance compared to single feature classification with the highest F-measure of 82% for both classes.
Volume: 8
Issue: 1
Page: 262-267
Publish at: 2017-10-01

Miniature design of T-Shaped frequency Reconfigurable antenna for S-Band Application using Switching Technique

10.11591/ijece.v7i5.pp2426-2433
Omar El Maleky , Farid Ben Abdelouahab , Mohammad Essaaidi , Nasri Abdelfatah
The article presents a miniature antenna with a simple geometry and a simple approach for reconfiguration. In order to make the T-shaped antenna frequency reconfigurable, we integrated Switches in specific positions. The location of the switches is determined following a study of the distribution of the surface currents of the suggested antenna. Indeed, we found that the insertion of switches in places where the concentrations of surface currents are high is irrelevant. In fact, to redirect current flow, the PIN diodes or RF Switch must be placed in positions where the distribution of the surface currents is of low concentration. These locations facilitate the establishment of new trajectories of the flux of current. As a result, a miniature tunable antenna dimension 20mm*20mm*1.6mm printed on FR4 substrate with 4.4 permittivity and with  0.04 loss tangent,   the antenna  can be adopted in many communication devices in view of its small size, its low manufacturing cost and performance on frequency sweep, the antenna operates in S-Band with an acceptable band and gain. The antenna is simulated and optimized using CST Microwave Studio.
Volume: 7
Issue: 5
Page: 2426-2433
Publish at: 2017-10-01

Comparative Analysis of common Edge Detection Algorithms using Pre-processing Technique

10.11591/ijece.v7i5.pp2574-2580
R. Vijaya Kumar Reddy , K. Prudvi Raju , M. Jogendra Kumar , L. Ravi Kumar , P Ravi Prakash , S. Sai Kumar
Edge detection is the process of segmenting an image by detecting discontinuities in brightness. So far, several standard segmentation methods have been widely used for edge detection. However, due to inherent quality of images, these methods prove ineffective if they are applied without any preprocessing. In this paper, an image preprocessing approach has been adopted in order to get certain parameters that are useful to perform better edge detection with the standard edge detection methods. The proposed preprocessing approach involves median filtering to reduce the noise in image and then Edge Detection technique is carried out. And atlast Standard edge detection methods can be applied to the resultant preprocessing image and its Simulation results are show that our preprocessed approach when used with a standard edge detection method enhances its performance.
Volume: 7
Issue: 5
Page: 2574-2580
Publish at: 2017-10-01

Link Aggregation Control Protocol on Software Defined Network

10.11591/ijece.v7i5.pp2706-2712
L. D. Irawati , Y. Sun Hariyani , S. Hadiyoso
A physical connection of computer network must be made reliably. Breaking connection will cause communication between nodes (for example routers, switches, hosts) can be disconnected. One of the solutions is implemention of link aggregation (LA). LA integrates several of physical ports together to make a single logical communication link. Accordingly, there is load sharing traffic among the member port of the group, high-throughput increasing via a single link, and redundancy providing for broken links. We present the implementation of link aggregation using Ryu controller on Software Defined Network (SDN) topology. The results show that the implementation of SDN with OpenvSwitch and Ryu controller can successfully run link aggregation function to solve the problem of link failure.
Volume: 7
Issue: 5
Page: 2706-2712
Publish at: 2017-10-01

Accurate Symbolic Steady State Modeling of Buck Converter

10.11591/ijece.v7i5.pp2374-2381
Eko Setiawan , Takuya Hirata , Ichijo Hodaka
Steady state analysis is fundamental to any electric and electronic circuit design. Buck converter is one of most popular power electronics circuit and has been analyzed in various situations. Although the behavior of buck converters can be understood approximately by the well-known state space averaging method, little is known in the sense of detailed behavior or exact solution to equations. In this paper a steady state analysis of buck converter is proposed which allows the exact calculation of steady state response. Our exact solution is expressed as a Fourier series. Our result is compared with numerical calculation to be verified. Our method copes with more complicated problems such as describing average power and root-mean-square power that are most critical issues in power electronics circuit.
Volume: 7
Issue: 5
Page: 2374-2381
Publish at: 2017-10-01

LMS Adaptive Filters for Noise Cancellation: A Review

10.11591/ijece.v7i5.pp2520-2529
Shubhra Dixit , Deepak Nagaria
This paper reviews the past and the recent research on Adaptive Filter algorithms based on adaptive noise cancellation systems. In many applications of noise cancellation, the change in signal characteristics could be quite fast which requires the utilization of adaptive algorithms that converge rapidly. Algorithms such as LMS and RLS proves to be vital in the noise cancellation are reviewed including principle and recent modifications to increase the convergence rate and reduce the computational complexity for future implementation. The purpose of this paper is not only to discuss various noise cancellation LMS algorithms but also to provide the reader with an overview of the research conducted.
Volume: 7
Issue: 5
Page: 2520-2529
Publish at: 2017-10-01

Bit-error-rate Optimization for CDMA Ultra-wideband System Using Generalized Gaussian Approach

10.11591/ijece.v7i5.pp2661-2673
Chung Gwo Chin , Mohamad Yusoff Alias , Tiang Jun Jiat
Ultra-wideband is a wireless technology arisen for future high speed multimedia applications. It can provide data rate in excess of Gigabits per second by transmitting impulse signal through the free space. However, the ultra-wideband indoor channel models proposed by the IEEE P802.15.3a suffer long multipath propagation. Due to this multipath effect, several studies have been done to improve the bit-error-rate performance of the ultra-wideband system in the existence of severe interference. Yet, most of the proposed algorithms were formulated based on the Gaussian distribution, which is not true in ultra-wideband. In this paper, we first analyze the statistical behavior of the CDMA-UWB signal by applying the Kullback-Leibler divergence index. Based on the analysis, a non-Gaussian equalizer is developed by deriving an enhanced bit-error-rate optimization algorithm using the Generalized Gaussian approach. The proposed equalizer has been shown to achieve a performance gain of at least 1.5dB to 2dB over the other equalizers simulated under IEEE P802.15.3a channel models.
Volume: 7
Issue: 5
Page: 2661-2673
Publish at: 2017-10-01

Evaluation of Integrated Digital Forensics Investigation Framework for the Investigation of Smartphones Using Soft System Methodology

10.11591/ijece.v7i5.pp2806-2817
Ruuhwan Ruuhwan , Imam Riadi , Yudi Prayudi
The handling of digital evidence can become an evidence of a determination that crimes have been committed or may give links between crime and its victims or crime and the culprit. Soft System Methodology (SSM) is a method of evaluation to compare a conceptual model with a process in the real world, so deficiencies of the conceptual model can be revealed thus it can perform corrective action against the conceptual model, thus there is no difference between the conceptual model and the real activity. Evaluation on the IDFIF stage is only done on a reactive and proactive process stages in the process so that the IDFIF model can be more flexible and can be applied on the investigation process of a smartphone.
Volume: 7
Issue: 5
Page: 2806-2817
Publish at: 2017-10-01

Raman Pumping as an Energy Efficient Solution for NyWDM Flexible-grid Elastic Optical Networks

10.11591/ijece.v7i5.pp2627-2634
Arsalan Ahmad , Andrea Bianco , Vittorio Curri , Guido Marchetto , Sarosh Tahir
This paper investigates transparent wavelength routed optical networks using three different fiber types NZDSF, SMF and PSCF - and validates the effectiveness of Hybrid Raman/EDFA Fiber Amplification (HFA) with different pumping levels, up to the moderate 60% pumping regime. Nodes operate on the basis of flexible-grid elastic NyWDM transponders able to adapt the modulation format to the quality-of-transmission of the available lightpath, exploiting up to five 12.5 GHz spectral slots. Results consider a 37- node Pan-European network for variable Raman pumping level, span length and average traffic per node. We show that HFA in moderate pumping regime reduces the power consumption and enhances spectral efficiency for all three fiber types with particular evidence in NZDSF. In essence to that, introduction of HFA is also beneficial to avoid blocking for higher traffic loads.
Volume: 7
Issue: 5
Page: 2627-2634
Publish at: 2017-10-01
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