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29,734 Article Results

Developing an Enhanced High-Speed Key Transmission (EHSKT) Technique to Avoid Fraud Activity in E-Commerce

10.11591/ijeecs.v12.i3.pp1187-1194
A.B. Hajira Be , R. Balasubramanian
E-commerce is an emerging and convergence of numerous main information technologies in business practices. E-commerce is an online website where the sale or buys of merchandise ordered electronically. It gives a simple approach to sell items to customers. In the applications suffers payments issues; for example, electronic transactions utilizing Visas or debit cards, net banking, PayPal or different tokens have more consistency problems and are at expanded hazard from being focused than different sites as they suffer more outcomes if there is information loss or modification. An Enhanced High-Speed Key Transmission (EHSKT) Technique is proposed for secure and efficient payment transactions and avoids fraud activity. The proposed system works based UUID (Universally Unique Identifier) to generate a unique id for payment transactions. Proposed system generates Unique id have a combination of number, alphabets, & special character to avoid fraud users. The proposed design reduces the encryption, decryption time and key complexity. Based on Experimental evaluations, proposed methodology reduces 4.73 AD (Average Delay), 23.91 EC (Energy Consumption), 0.95 ET (Encryption Time), 0.85 DT (Decryption Time) and improves 59.8% (Throughput) compared than existing methodologies.
Volume: 12
Issue: 3
Page: 1187-1194
Publish at: 2018-12-01

Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

10.11591/ijai.v7.i4.pp190-196
K. Lenin
In this paper, Enriched Big Bang-Big Crunch (EBC) algorithm is proposed to solve the reactive power problem. The problem of converging to local optimum solutions occurred for the Bang-Big Crunch (BB-BC) approach due to greedily looking around the best ever found solutions. The proposed algorithm takes advantages of typical Big Bang-Big Crunch (BB-BC) algorithm and enhances it with the proper balance between exploration and exploitation factors. Proposed EBC algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the improved performance of the proposed algorithm in reducing the real power loss.
Volume: 7
Issue: 4
Page: 190-196
Publish at: 2018-12-01

Hysteresis Loops for Magnetoelectric Multiferroics Using Landau-Khalatnikov Theory

10.11591/ijece.v8i6.pp4823-4828
Vincensius Gunawan , Ngurah Ayu Ketut Umiati
We present a theoretical discussion of the hysteresis in magnetoelectric multiferroics with bi-quadratic magnetoelectric coupling. The calculations were performed by employing Landau-Khalatnikov equation of motion for both the ferroelectric and ferromagnetic phase, then solve it simultaneously. In magnetoelectric, we obtain four types of hysteresis: ferroelectric hysteresis, ferromagnetic hysteresis and two types of cross hysteresis (electric field versus magnetization and magnetic field versus electric polarization). The cross hysteresis has butterfly shape which agree with the result from the previous research. It can also be seen from that hysteresis, that magnetization / electric polarization can not be flipped into the opposite direction using external electric / magnetic field when the magnetoelectric coupling is bi-quadratic type. Overall, the result shows that Landau-Khalatnikov equation is able to approximate hysteresis loops in multiferroics system.
Volume: 8
Issue: 6
Page: 4823-4828
Publish at: 2018-12-01

Speed Control of PMDCM Based GA and DS Techniques

10.11591/ijpeds.v9.i4.pp1467-1475
Wisam Najm AL-Din Abed , Adham Hadi Saleh , Abbas Salman Hameed
Permanent magnet direct current motors (PMDCM) are widely used in various applications such as space technologies, personal computers, medical, military, robotics, electrical vehicles, etc. In this paper, the mathematical model of PMDCM is designed and simulated using MATLAB software. The PMDCM speed is controlled using rate feedback controller due to its ability of improving system damping. To improve the controller performance, it’s parameters are tuned using genetic algorithm (GA) and direct search (DS) techniques. The tuning process based on different performance criteria. The most four common performance criteria used in this paper are JIAE (Integral of Absolute Error), JISE (Integral of Square Error), JITAE (Integral of Time-Weighted Absolute Error), and JITSE (Integral of Time-Weighted Square Error). The results obtained from these evolutionary techniques are compared.  The results show an obvious improvement in system performance including enhancing the transient and steady state of PMDCM speed responses for all performance criteria.
Volume: 9
Issue: 4
Page: 1467-1475
Publish at: 2018-12-01

A Novel Approach for Phishing Emails Real Time Classification Using K-Means Algorithm

https://ijece.iaescore.com/index.php/IJECE/article/view/11257
Vidya Mhaske-Dhamdhere , Sandeep Vanjale
The dangers phishing becomes considerably bigger problem in online networking, for example, Facebook, twitter and Google+.. In this paper we are mainly focus on a novel approach of real time phishing email classification using machine learning algorithm. We use random forest, Decision tree with J48 ,naïve Bayes we use spam base dataset. On spam base dataset random forest algorithm work best which give true positive 97.2% and falsie negative is 0.88% and give correctly classification 94.82% and incorrectly classification 5.17%.
Volume: 8
Issue: 6
Page: 5326-5332
Publish at: 2018-12-01

Cost Effective Solution for a Shunt Hybrid Filter Using Enhanced Current Controller

10.11591/ijpeds.v9.i4.pp1685-1692
Y. Lalitha Kameswari , O. Chandra Sekhar
The increasing demand of energy and development of distributed generation systems have led to great progress in medium voltage high-power inverters. On the other side, due to more intransigent regulations in the area of power quality and appearance of new grid codes, which limit the harmonics’ amounts in ac grids, special attention has to be made to restrict the harmonics. The recently proposed selective harmonic mitigation pulse width modulation method reduces the values of specific harmonics to meet the grid codes, instead of making them zero. In this way, there are much more solutions for mitigating the same harmonics which in the Selective Harmonic Eliminated Pulse-Width Modulation (SHEPWM), are completely eliminated. The SHMPWM was first introduced in, where a waveform  having 750 Hz switching frequency was employed to mitigate harmonics up to 49th to satisfy the grid codes EN 50160 and CIGRE WG 36-05 without using any filtering system. In this contribution a solution to the parallel resonance problem that can be present in practical applications of shunt Active Power Filter (APF) compensation is proposed. The proposed solution involves turning the shunt APF scheme of compensation into a Shunt Hybrid Filter (SHF) configuration. A Linear Quadratic Regulator (LQR)-based switching controller was specifically designed for this hybrid scheme of compensation, maintaining stringent performance requirements on the tracking of filtering currents and the draining of the harmonic ripple currents.
Volume: 9
Issue: 4
Page: 1685-1692
Publish at: 2018-12-01

Event-Concept Pair Series Extraction to Represent Medical Complications from Texts

10.11591/ijeecs.v12.i3.pp1320-1333
Chaveevan Pechsiri , Sumran Phainoun
This research aims to determine an event-concept pair series as consequent events, particularly a Cause-Effect-concept pair (called ‘CEpair’) series on disease documents downloaded from hospital-web-boards. CEpair series are used for representing medical/disease complications which benefit for Solving system. Each causative/effect event concept is expressed by a verb phrase of an elementary discourse unit (EDU) which is a simple sentence. The research has three problems; how to determine each adjacent-EDU pair having the cause-effect relation, how to determine a CEpair series mingled with non-causeeffect-relation EDUs, and how to identify the complication of several extracted CEpair series from the documents. Therefore, we extract NWordCo-concept set having the causative/effect concepts from EDUs’ verb phrases including a support vector machine to solve each NWordCo size. We apply the Naïve Bayes classifier to learn and extract an NWordCoconcept pair set as a knowledge template having the cause-effect relation from the documents. We then propose using the knowledge template to extract several CEpair series. We also apply the intersection of the NWordCo-concept sets to identify the commoncause/effect for representing the complication-development parts of the extracted-CEpair series. The research results provide the high percent correctness of the CEpair-series determination from the documents.
Volume: 12
Issue: 3
Page: 1320-1333
Publish at: 2018-12-01

Phase Frequency Detector and Charge Pump for Low Jitter PLL Applications

10.11591/ijece.v8i6.pp4120-4132
Sung Sik Park , Ju Sang Lee , Sang Dae Yu
In this paper a new technique is presented to improve the jitter performance of conventional phase frequency detectors by completely removing the unnecessary one-shot pulse. This technique uses a variable pulse-height circuit to control the unnecessary one-shot pulse height. In addition, a novel charge-pump circuit with perfect current-matching characteristics is used to improve the output jitter performance of conventional charge pumps. This circuit is composed of a pair of symmetrical pump circuits to obtain a good current matching. As a result, the proposed charge-pump circuit has perfect current-matching characteristics, wide output range, no glitch output current, and no jump output voltage. In order to verify such operation, circuit simulation is performed using 0.18 μm CMOS process parameters.
Volume: 8
Issue: 6
Page: 4120-4132
Publish at: 2018-12-01

Solving N-queen Problem Using Genetic Algorithm by Advance Mutation Operator

10.11591/ijece.v8i6.pp4519-4523
Vinod Jain , Jay Shankar Prasad
N-queen problem represents a class of constraint problems. It belongs to set of NP-Hard problems. It is applicable in many areas of science and engineering. In this paper N-queen problem is solved using genetic algorithm. A new genetic algoerithm is proposed which uses greedy mutation operator. This new mutation operator solves the N-queen problem very quickly. The proposed algorithm is applied on some instances of N-queen problem and results outperforms the previous findings.
Volume: 8
Issue: 6
Page: 4519-4523
Publish at: 2018-12-01

Soft Computing Technique of Bridgeless SEPIC Converter for PMBLDC Motor Drive

10.11591/ijpeds.v9.i4.pp1503-1509
Meena Devi R. , L. Premalatha
A novel speed controller for the three-phase Brushless DC (BLDC) Motor Drive is proposed using a closed-loop AC-DC Bridgeless SEPIC Converter in continuous Conduction mode. This design proposes a single stage AC-DC converter with ON and OFF state equivalent circuits for 400W, 48V at 2450 rpm PMBLDC motor drive. The Fuzzy based voltage and current controlling method is proposed in this design. The voltage controlling method is used to control the speed for BLDC motor and the current controlling method is used to improve the power factor in AC supply. The speed of BLDC motor is observed with voltage disturbance and the constant motor speed is maintained. The proposed control method on SEPIC converter fed PMBLDC motor drive is modeled by Simulink/Matlab.
Volume: 9
Issue: 4
Page: 1503-1509
Publish at: 2018-12-01

Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

10.11591/ijece.v8i6.pp4871-4879
Kaushik Paul , Niranjan Kumar
The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm.The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.
Volume: 8
Issue: 6
Page: 4871-4879
Publish at: 2018-12-01

Robust Counterpart Open Capacitated Vehicle Routing (RC-OCVRP) Model in Optimization of Garbage Transportation in District Sako and Sukarami, Palembang City

10.11591/ijece.v8i6.pp4382-4390
Fitri Maya Puspita , Yusuf Hartono , Nadia Zuliaty Syaputri , Evi Yuliza , Weni Dwi Pratiwi
In this paper, the Robust Counterpart Open Capacitation Vehicle Rounting Problem (RC-OCVRP) Model has been established to optimize waste transport in districts Sako and districts Sukarami, Palembang City. This model is completed with the aid of LINGO 13.0 by using Branch and Bound solver to get the optimum route. For Sako districs, the routes are as follows: working area 1 is TPS 1-TPS 2-TPS 3-TPA with distance 53.39 km, working area 2 is TPS 1-TPS 2-TPS 3-TPA with distance 48.14 km, working area 3 is TPS 1-TPA with a distance of 22.98 km, and working area 4 is TPS 1-TPS 2-TPS 3-TPS 4-TPA with 45.45 km distance, and obtained the optimum route in Sukarami districts is as follows: working area 1 is TPS 1-TPS 2-TPA 44.39 km, working area 2 is TPS 1-TPS 2-TPS 3-TPA with distance 49.32 km, working area 3 is TPS 1-TPS 3-TPA-TPS 2-TPA with distance 58.57 km, and working area 4 is TPS 1-TPA with a distance of 24.07 km, working area 5 is TPS 1-TPS 3-TPA-TPS 2-TPS 4-TPA with a distance of 77.66 km, and working area 6 is a TPS 1-TPS 2-TPS 3-TPA with a distante 44.94 km.
Volume: 8
Issue: 6
Page: 4382-4390
Publish at: 2018-12-01

Improved Performance of DFIG-generators for Wind Turbines Variable-speed

10.11591/ijpeds.v9.i4.pp1875-1890
Ihedrane Yasmine , El Bekkali Chakib , Bossoufi Badre
The following article presents the control of the power generated by the Doubly Fed Induction Generator, integrated into the wind system, whose rotor is linked to the power converters (Rotor Side Convert (RSC) and Grid Side Converter (GSC)) interfaced by the DC-BUS and connected to the grid via a filter (Rf, Lf) in order to obtain an optimal power to the grid and to ensure system stability. The objective of this study is to understand and to make the comparison between Sliding mode Control technique and the Flux Oriented Control in order to control the Doubly Fed Induction Generator powers exchanged with the grid, it also aims at maintaining the DC-BUS voltage constant and a unit power factor at the grid connection point.The results of simulation show the performance of the Sliding mode Control in terms of monitoring, and robustness with regard to the parametric variations, compared to the Flux Oriented Control. The performance of the systems was tested and compared with the use of MATLAB/Simulink software.
Volume: 9
Issue: 4
Page: 1875-1890
Publish at: 2018-12-01

Identification of Plant Types by Leaf Textures Based on the Backpropagation Neural Network

10.11591/ijece.v8i6.pp5389-5398
Taufik Hidayat , Asyaroh Ramadona Nilawati
The number of species of plants or flora in Indonesia is abundant. The wealth of Indonesia's flora species is not to be doubted. Almost every region in Indonesia has one or some distinctive plant(s) which may not exist in other countries. In enhancing the potential diversity of tropical plant resources, good management and utilization of biodiversity is required. Based on such diversity, plant classification becomes a challenge to do. The most common way to recognize between one plant and another is to identify the leaf of each plant. Leaf-based classification is an alternative and the most effective way to do because leaves will exist all the time, while fruits and flowers may only exist at any given time. In this study, the researchers will identify plants based on the textures of the leaves. Leaf feature extraction is done by calculating the area value, perimeter, and additional features of leaf images such as shape roundness and slenderness. The results of the extraction will then be selected for training by using the backpropagation neural network. The result of the training (the formation of the training set) will be calculated to produce the value of recognition accuracy with which the feature value of the dataset of the leaf images is then to be matched. The result of the identification of plant species based on leaf texture characteristics is expected to accelerate the process of plant classification based on the characteristics of the leaves.
Volume: 8
Issue: 6
Page: 5389-5398
Publish at: 2018-12-01

Hybrid Genetic Algorithm for Optimization of Food Composition on Hypertensive Patient

10.11591/ijece.v8i6.pp4673-4683
Aprilia Nur Fauziyah , Wayan Firdaus Mahmudy
The healthy food with attention of salt degree is one of the efforts for healthy living of hypertensive patient. The effort is important for reducing the probability of hypertension change to be dangerous disease. In this study, the food composition is build with attention nutrition amount, salt degree, and minimum cost. The proposed method is hybrid method of Genetic Algorithm (GA) and Variable Neighborhood Search (VNS). The three scenarios of hybrid GA-VNS types had been developed in this study. Although hybrid GA and VNS take more time than pure GA or pure VNS but the proposed method give better quality of solution. VNS successfully help GA avoids premature convergence and improves better solution. The shortcomings on GA in local exploitation and premature convergence is solved by VNS, whereas the shortcoming on VNS that less capability in global exploration can be solved by use GA that has advantage in global exploration.
Volume: 8
Issue: 6
Page: 4673-4683
Publish at: 2018-12-01
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