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28,593 Article Results

Classifying the Fault Type in Underground Distribution System Based on Fuzzy Logic Algorithm

10.11591/ijeecs.v8.i2.pp557-560
M. Sudha
This paper exhibits the best possible information example of fluffy rationale calculation for blame sort characterization in underground link. The proposed calculation utilizing mix of discrete wavelet changes (DWT) and fluffy rationale. The DWT is connected to concentrate high recurrence segment from blame current waveform utilizing mother wavelet daubechies4 (db4). The most extreme coefficients detail of DWT and greatest proportion of DWT, acquired from stage A, B, C and zero succession of blame current waveforms have been utilized as an info factors for choice calculation. The acquired outcomes in term of normal exactness have demonstrated that the most extreme proportion of DWT can accomplished tasteful precision in blame sort order.
Volume: 8
Issue: 2
Page: 557-560
Publish at: 2017-11-01

Robustness and Stability Analysis of a Predictive PI Controller in WirelessHART Network Characterised by Stochastic Delay

10.11591/ijece.v7i5.pp2605-2613
Sabo Miya Hassan , Rosdiazli Ibrahim , Nordin Saad , Vijanth Sagayan Asirvadam , Kishore Bingi , Tran Duc Chung
As control over wireless network in the industry is receives increasing attention, its application comes with challenges such as stochastic network delay. The PIDs are ill equipped to handle such challenges while the model based controllers are complex. A settlement between the two is the PPI controller. However, there is no certainty on its ability to preserve closed loop stability under such challenges. While classical robustness measures do not require extensive uncertainty modelling, they do not guarantee stability under simultaneous process and network delay variations. On the other hand, the model uncertainty measures tend to be conservative. Thus, this work uses extended complementary sensitivity function method which handles simultaneously those challenges. Simulation results shows that the PPI controller can guarantee stability even under model and delay uncertainties.
Volume: 7
Issue: 5
Page: 2605-2613
Publish at: 2017-10-01

An Analysis of Harmonic and Interharmonic Contribution of Electric Arc Furnace by Using Periodogram

10.11591/ijece.v7i6.pp3753-3760
M.R. Yusoff , M.H. Jopri , A.R. Abdullah , T. Sutikno , M. Manap , A.S. Hussin
Fast and accurate detection of the harmonic and interharmonic contribution of electric arc furnace (EAF) is crucial in identifying and to mitigate the undesired effects to the system.  In this paper, periodogram, a fast and accurate technique is introduced for the analysis of the contribution. Based on a rule-based classifier and the threshold settings that referred to the IEEE Standard 1159 2009, the analysis of the harmonic and interharmonic contribution of EAF are carried out successfully. Moreover, the impact of contribution is measured using total harmonic distortion (THD) and total non-harmonic distortion (TnHD). In addition, periodogram also gives 100 percent correct detection and able to analyze the contribution impact. It is proven that the proposed method is accurate, fast and cost efficient for analyzing the impact of harmonic and interharmonic of EAF.
Volume: 7
Issue: 6
Page: 3753-3760
Publish at: 2017-10-01

Effective Load Balance Scheduling Schemes for Heterogeneous Distributed System

10.11591/ijece.v7i5.pp2757-2765
Zeba Khan , Mahfooz Alam , Raza Abbas Haidri
Importance of distributed systems for distributing the workload on the processors is globally accepted. It is an agreed fact that divides and conquers is the effective strategy for load balancing problems. In today’s time, load balancing is the major issue for scheduling algorithm such as in Parallel and Distributed Systems including Grid and Cloud Computing and many more. Load Balancing is the phenomena of spreading or distributing the workload among the processors so that all processors keep busy for all the time, in order to prevent ideal time of processors. In this work, presents a load balancing algorithm for heterogeneous distributed system (HeDS) with aim of minimizing the load imbalance factor (LIF). The proposed algorithm is using optimization techniques such as Max-Max and Min-Max strategy and applied on Folded Crossed Cube (FCC) network. Makespan, speedup and average resource utilization are also evaluated for performance matrices. The experimental results of the proposed algorithms have showed better in comparison to with previous work under various test conditions.
Volume: 7
Issue: 5
Page: 2757-2765
Publish at: 2017-10-01

An Ear Recognition Method Based on Rotation Invariant Transformed DCT

10.11591/ijece.v7i5.pp2895-2901
Fatemeh Hourali , Sorayya Gharravi
Human recognition systems have gained great importance recently in a wide range of applications like access, control, criminal investigation and border security. Ear is an emerging biometric which has rich and stable structure and can potentially be implemented reliably and cost efficiently. Thus human ear recognition has been researched widely and made greatly progress. High recognition rates which are reported in most existing methods can be reached only under closely controlled conditions. Actually a slight amount of rotation and translation which is inescapable would be injurious for system performance. In this paper, a method that uses a transformed type of DCT is implemented to extract meaningful features from ear images. This algorithm is quite robust to ear rotation, translation and illumination. The proposed method is experimented on two popular databases, i.e. USTB II and IIT Delhi II, which achieves significant improvement in the performance in comparison to other methods with good efficiency based on LBP, DSIFT and Gabor. Also because of considering only important coefficients, this method is faster compared to other methods.
Volume: 7
Issue: 5
Page: 2895-2901
Publish at: 2017-10-01

A Compact UWB BPF with a Notch Band using Rectangular Resonator Sandwiched between Interdigital Structure

10.11591/ijece.v7i5.pp2420-2425
Yatindra Gaurav , R.K. Chauhan
This paper presents a compact design of an ultra wide band bandpass filters with a notch band using interdigital structure. The aim of the design is to reduce the size of filter, reduce the complexity of the design, and improve the performance of filter response. The proposed filter comprises of a rectangular resonator sandwiched between Interdigital structures, with rectangular slot as defected microstrip structure at the input and output ports. This design has been used for the first time to achieve the above aim. The advantage with this design is that, it does not use any via or defected ground structure. The insertion loss of proposed filter, in passband between 3.1 GHz to 10.8 GHz, is less than 0.7dB, and for the notched band it is 21.5 dB centred at 7.9 GHz. The proposed filter is fabricated, tested and compared with simulated results. The proposed design was small in size with less complexity, and shows performance better than the other designs available in the literatures at this dimension.
Volume: 7
Issue: 5
Page: 2420-2425
Publish at: 2017-10-01

Video Shot Boundary Detection using the Scale Invariant Feature Transform and RGB Color Channels

10.11591/ijece.v7i5.pp2565-2673
Zaynab El khattabi , Youness Tabii , Abdelhamid Benkaddour
Segmentation of the video sequence by detecting shot changes is essential for video analysis, indexing and retrieval. In this context, a shot boundary detection algorithm is proposed in this paper based on the scale invariant feature transform (SIFT). The first step of our method consists on a top down search scheme to detect the locations of transitions by comparing the ratio of matched features extracted via SIFT for every RGB channel of video frames. The overview step provides the locations of boundaries. Secondly, a moving average calculation is performed to determine the type of transition. The proposed method can be used for detecting gradual transitions and abrupt changes without requiring any training of the video content in advance. Experiments have been conducted on a multi type video database and show that this algorithm achieves well performances.
Volume: 7
Issue: 5
Page: 2565-2673
Publish at: 2017-10-01

RCS of Chiral Elliptic Cylinder Embedded in Infinite Chiral Medium

10.11591/ijece.v7i5.pp2731-2737
A-K. Hamid , W. Obaid
This paper presents an analytic solution to the scattering properties of chiral elliptic cylinder embedded in infinite chiral medium due to incident plane wave. The external electromagnetic fields as well as the internal electromagnetic fields are written in terms Mathieu functions and expansion coefficients. In order to obtain both the internal and external unknown field expansion coefficients, the boundary conditions are applied rigorously at the surface of different chiral/chiral material. Results are plotted graphically for the normalized scattering widths for elliptic cylinders of different sizes and chiral materials to show the effects of these parameters on scattering cross widths. It is shown numerically by adding the external chiral material to elliptic cylinder provides more parameters to control the RCS.
Volume: 7
Issue: 5
Page: 2731-2737
Publish at: 2017-10-01

A Systematic Mapping Review of Software Quality Measurement: Research Trends, Model, and Method

10.11591/ijece.v7i5.pp2847-2854
Tenia Wahyuningrum , Khabib Mustofa
Software quality is a key for the success in the business of information and technology. Hence, before be marketed, it needs the software quality measurement to fulfill the user requirements.  Some methods of the software quality analysis have been tested in a different perspective, and we have presented the software method in the point of view of users and experts. This study aims to map the method of software quality measurement in any models of quality. Using the method of Systematic Mapping Study, we did a searching and filtering of papers using the inclusion and exclusion criteria. 42 relevant papers have been obtained then. The result of the mapping showed that though the model of ISO SQuaRE has been widely used since the last five years and experienced the dynamics, the researchers in Indonesia still used ISO9126 until the end of 2016.The most commonly used method of the software quality measurement Method is the empirical method, and some researchers have done an AHP and Fuzzy approach in measuring the software quality.
Volume: 7
Issue: 5
Page: 2847-2854
Publish at: 2017-10-01

Wind Integrated Thermal Unit Commitment Solution Using Grey Wolf Optimizer

10.11591/ijece.v7i5.pp2309-2320
S. Siva Sakthi , R.K. Santhi , N. Murali Krishnan , S. Ganesan , S. Subramanian
The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literature have been reported for the thermal Unit Commitment (UC) solution. In this work, the UC problem has been formulated by integrating wind power generators along with thermal power system. The Wind Generator Integrated UC (WGIUC) problem is more complex in nature, that necessitates a promising optimization tool. Hence, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm has been chosen as the main optimization tool and real coded scheme has been incorporated to handle the operational constraints. The standard test systems are used to validate the potential of the GWO algorithm. Moreover, the ramp rate limits are also included in the mathematical WGIUC formulation. The simulation results prove that the intended algorithm has the capability of obtaining economical resolutions with good solution quality.
Volume: 7
Issue: 5
Page: 2309-2320
Publish at: 2017-10-01

SVM Classification of MRI Brain Images for Computer-Assisted Diagnosis

10.11591/ijece.v7i5.pp2555-2564
Madina Hamiane , Fatema Saeed
Magnetic Resonance Imaging is a powerful technique that helps in the diagnosis of various medical conditions. MRI Image pre-processing followed by detection of brain abnormalities, such as brain tumors, are considered in this work. These images are often corrupted by noise from various sources. The Discrete Wavelet Transforms (DWT) with details thresholding is used for efficient noise removal followed by edge detection and threshold segmentation of the denoised images. Segmented image features are then extracted using morphological operations. These features are finally used to train an improved Support Vector Machine classifier that uses a Gausssian radial basis function kernel. The performance of the classifier is evaluated and the results of the classification show that the proposed scheme accurately distinguishes normal brain images from the abnormal ones and benign lesions from malignant tumours. The accuracy of the classification is shown to be 100% which is superior to the results reported in the literature.
Volume: 7
Issue: 5
Page: 2555-2564
Publish at: 2017-10-01

A Performance Review of Intra and Inter-Group MANET Routing Protocols under Varying Speed of Nodes

10.11591/ijece.v7i5.pp2721-2730
Dilip Singh Sisodia , Riya Singhal , Vijay Khandal
Mobile Ad-hoc Networks (MANETs) are a cluster of self-organizing and self-governing wireless nodes without any backbone infrastructure and centralized administration. The various nodes in MANET move randomly, and this node mobility may pose challenges on the performance of routing protocols.  In this paper, an Intra and intergroup performance review of various MANET routing protocols are performed under varying speed of nodes. The routing protocols included in this study are reactive, proactive, and hybrid protocols. This performance review is done using the NS2 simulator and random waypoint model. The routing protocols performance is assessed through standard performance measure metrics including packet delivery ratio, throughput, routing overhead and end to end delivery with varying speed of nodes. The simulations result shows that there is no significant impact of varying speed of nodes on standard performance evaluation metrics.
Volume: 7
Issue: 5
Page: 2721-2730
Publish at: 2017-10-01

Optimization of Fuzzy Tsukamoto Membership Function using Genetic Algorithm to Determine the River Water

10.11591/ijece.v7i5.pp2838-2846
Qoirul Kotimah , Wayan Firdaus Mahmudy , Vivi Nur Wijayaningrum
Some aquatic ecosystems in rivers depend on the river water, so it needs to be maintained by measuring and analyzing the river water quality. STORET is one of the methods used to measure the river water quality, but it takes a quite high of time and costs. Fuzzy Tsukamoto is an alternative method that works by grouping the river water data, but it is difficult to determine the membership function value. The solution offered in this study is the use of genetic algorithm to determine the membership function value of each criterion. Based on the test results, the optimization of fuzzy membership function using genetic algorithm provides higher accuracy value that is 95%, while the accuracy value without optimization process is 90%. The parameters used in genetic algorithm are as follows: population size is 80, generation number is 175, crossover rate (cr) is 0.6, and mutation rate (mr) is 0.4.
Volume: 7
Issue: 5
Page: 2838-2846
Publish at: 2017-10-01

Series-Loaded Resonant Converter DC-DC Buck Operating for Low Power

10.11591/ijeecs.v8.i1.pp159-168
M. F. Omar , H. C. M. Haris
This paper presents the functions of Series-Loaded Resonant Converter (SLRC). Series Loaded Resonant DC-DC converter is a type of soft-switching topology widely known for providing improved efficiency. Zero voltage switching (ZVS) buck converter is more preferable over hard switched buck converter for low power, high frequency DC-DC conversion applications. Zero Voltage switching techniques will be used to improve the efficiency of current and voltage at the series loaded half-bridge rectifier. The results will be described from PSIM simulation, Programming of MATLAB calculation and hardware testing.
Volume: 8
Issue: 1
Page: 159-168
Publish at: 2017-10-01

Development of Hybrid Artificial Neural Network for Quantifying Energy Saving using Measurement and Verification

10.11591/ijeecs.v8.i1.pp137-145
Wan n Nazirah Wan Md Adna , Nofri Yenita Dahlan , Ismail Musirin
This paper presents a Hybrid Artificial Neural Network (HANN) for chiller system Measurement and Verification (M&V) model development. In this work, hybridization of Evolutionary Programming (EP) and Artificial Neural Network (ANN) are considered in modeling the baseline electrical energy consumption for a chiller system hence quantifying saving. EP with coefficient of correlation (R) objective function is used in optimizing the neural network training process and selecting the optimal values of ANN initial weights and biases. Three inputs that are affecting energy use of the chiller system are selected; 1) operating time, 2) refrigerant tonnage and 3) differential temperature. The output is hourly energy use of building air-conditioning system. The HANN model is simulated with 16 different structures and the results reveal that all HANN structures produce higher prediction performance with R is above 0.977. The best structure with the highest value of R is selected as the baseline model hence is used to determine the saving. The avoided energy calculated from this model is 132944.59 kWh that contributes to 1.38% of saving percentage.
Volume: 8
Issue: 1
Page: 137-145
Publish at: 2017-10-01
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