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27,762 Article Results

Optimal Power System Planning with Renewable DGs with Reactive Power Consideration

10.11591/ijpeds.v9.i2.pp750-756
Hanumesh T. , Sudarshana Reddy H.R
This paper analyses the optimal power system planning with DGs used as real and reactive power compensator. Recently planning of DG placement reactive power compensation are the major problems in distribution system. As the requirement in the power is more the DG placement becomes important. When planned to make the DG placement, cost analysis becomes as a major concern. And if the DGs operate as reactive power compensator it is most helpful in power quality maintenance. So, this paper deals with the optimal power system planning with renewable DGs which can be used as a reactive power compensators. The problem is formulated and solved using popular meta-heuristic techniques called cuckoo search algorithm (CSA) and particle swarm optimization (PSO). the comparative results are presented.
Volume: 9
Issue: 2
Page: 750-756
Publish at: 2018-06-01

The Fact-Finding Security Examination in NFC-enabled Mobile Payment System

10.11591/ijece.v8i3.pp1774-1780
Pinki Prakash Vishwakarma , Amiya Kumar Tripathy , Srikanth Vemuru
Contactless payments devised for NFC technology are gaining popularity. Howbeit, with NFC technology permeating concerns about arising security threats and risks to lessen mobile payments is vital. The security analysis of NFC-enabled mobile payment system is precariously imperative due to its widespread ratification. In mobile payments security is a prevalent concern by virtue of the financial value at stave. This paper assays the security of NFC based mobile payment system. It discusses the security requirements, threats and attacks that could occur in mobile payment system and the countermeasures to be taken to secure pursuance suitability.
Volume: 8
Issue: 3
Page: 1774-1780
Publish at: 2018-06-01

Design and Implementation of a Secure Communication Protocol

10.11591/ijece.v8i3.pp1814-1821
M. K. Viswanath , M. Ranjith Kumar
The main object of this paper is to present a mutual authentication protocol that guarantees security, integrity and authenticity of messages, transferred over a network system. In this paper a symmetric key cryptosystem, that satisfies all the above requirements, is developed using theorems of J.R. Chen, I.M. Vinogradov and Fermat and the decimal expansion of an irrational number.
Volume: 8
Issue: 3
Page: 1814-1821
Publish at: 2018-06-01

Correlation between Reflection Coefficient, Dielectric Properties and Brix Level of Malaysian Oranges at Microwave Frequencies

10.11591/ijeecs.v10.i3.pp853-858
Rafidah Rosman , Mohamad Ngasri Dimon , You Kok Yeow
This paper presents sweetness degree (°Brix) prediction of the Malaysian oranges using microwave technique. Experimental measurement using monopole sensor and reflectometer was done in order to correlate the relationship between measured reflection coefficient, S11  of the orange and its sweetness level. Up to fifty orange samples were freshly plucked from local grower’s farm and tested. The unique design of the monopole sensor’s holder is made of nylon. The experiment test bed was set up based on the standard dimension of monopole sensor available in the market. The operating frequency is focusing on 2.2 GHz as it shows significant sensitivity for determining Malaysian local oranges sweetness level.
Volume: 10
Issue: 3
Page: 853-858
Publish at: 2018-06-01

Automatic Speed Control of Motor via WAD Technique for Prevention of Faults in Motor

10.11591/ijpeds.v9.i2.pp519-526
R. Kabilan , G. Selvakumar
Many technologies are introduced in monitoring the fault occurrence in the electric motors used in industrial applications. Sound Accusation, current signature analysis, and vibration based motor fault detection systems are widely used in present years. From all these methods analyzing the motor vibration pattern produces more accuracy in finding an occurrence of different faults in the electric motor. The frequency of vibration generated by the MEMS vibration sensor differs for rotor, stator and bearing faults. The signal generated is analyzed using three important techniques namely wavelet analysis, Dyadic Transformation, and Adaptive Neuro-Fuzzy Inference System(WAD Technique). Hardware with ARM microcontroller and ADXL MEMS vibration sensor was used to perform signal acquisition, and the generated signal is processed using the MATLAB software, and the speed of the motor is controlled based on the processed result. The performance of the system with all three algorithms was recorded, and the efficiency of the system is compared.
Volume: 9
Issue: 2
Page: 519-526
Publish at: 2018-06-01

Unbalanced Voltages Impacts on the Energy Performance of Induction Motors

10.11591/ijece.v8i3.pp1412-1422
Enrique C. Quispe , Iván D. López , Fernando J. T. E. Ferreira , Vladimir Sousa
This paper presents the results of a study about the effects of unbalanced voltages on the energy performance of three-phase induction motors. The principal contribution of this paper is that presents a detailed analysis of the influence of positive and negative sequence voltage components and the angle between them on several characteristics such as: line currents, losses, efficiency and power factor under different voltage unbalanced conditions. A three-phase induction motor of 3 HP was used as a case study. The results of the investigation show that the positive sequence voltage must be considered together with the voltage unbalance factor (VUF) or percent voltage unbalance (PVU) index to evaluate the performance of the induction motor. It is also shown that the behavior of the motor load influences on the positive sequence parameters next to the voltage, while in the case of negative sequence only influences the negative sequence voltage.
Volume: 8
Issue: 3
Page: 1412-1422
Publish at: 2018-06-01

Fuzzy Logic based Edge Detection Method for Image Processing

10.11591/ijece.v8i3.pp1863-1869
Abdulrahman Moffaq Alawad , Farah Diyana Abdul Rahman , Othman O. Khalifa , Norun Abdul Malek
Edge detection is the first step in image recognition systems in a digital image processing. An effective way to resolve many information from an image such depth, curves and its surface is by analyzing its edges, because that can elucidate these characteristic when color, texture, shade or light changes slightly. Thiscan lead to misconception image or vision as it based on faulty method. This work presentsa new fuzzy logic method with an implemention. The objective of this method is to improve the edge detection task. The results are comparable to similar techniques in particular for medical images because it does not take the uncertain part into its account.
Volume: 8
Issue: 3
Page: 1863-1869
Publish at: 2018-06-01

Cogging Torque Reduction Technique on E-Core Hybrid Flux Switching Motor by Notching and Pole Pairing

10.11591/ijpeds.v9.i2.pp839-847
Jaudah Abd Rani , Erwan Sulaiman , Md Zarafi Ahmad , Mohd Fairoz Omar , Chockalingam Aravind Vaithilingam
In the past, 4S-10P E-Core Hybrid Flux Switching Motor (HFSM) had been studied. However, the motor suffers high cogging torque but it has high performance in terms of high power and high torque at high speed. Therefore, this paper is proposing the cogging torque reduction techniques to minimize the cogging torque. The high cogging torque gave an undesirable effect during low operating speed of the motor. In order to tackle the issue, the cogging torque mechanism in equation is laid out as a form of reference. Then the reduction techniques employed on the designs and analyzed with Finite Element analysis (FEA) in JMAG. The results show the cogging torque of the optimized design is 44.45% of the motor torque. Besides, the techniques employed to identify which techniques gave the most cogging torque reduction and analyzed the geometrical difference using the cogging torque mechanism. Finally, the analysis is discussed based on the modified geometrics.
Volume: 9
Issue: 2
Page: 839-847
Publish at: 2018-06-01

Optimization The Performance of a Synchronization Controller For a 3-Phase Photovoltaic Grid-Connected System

10.11591/ijpeds.v9.i2.pp622-630
Bennis Ghita , Karim Mohammed , Lagrioui Ahmed
In a distributed generation system, divers renewable agents are connected to the low voltage 3 phase utility grid by an inverter which is used as power condition and must assurance the higher efficiency of the renewable agent. To achieve this level of efficiency, a unitary power factor between the utility grid voltages and the inverter currents is necessary, and a synchronization algorithm is required for the perfect synchronization between the 3-phase utility grid and the renewable agent. The aim of this paper is to present the optimization of the performance of a Synchronization controller for a 3-phase photovoltaic grid-connected system, assessing its accuracy under different conditions and studying their drawbacks and advantages. A grid connected photovoltaic system with a nominal power of 5 kW is used so as to assess the behavior of the synchronization algorithm when the 3 phase utility grid is affected by some disturbances such as voltage unbalances.
Volume: 9
Issue: 2
Page: 622-630
Publish at: 2018-06-01

The Interaction between Load Circuits and Decision of Frequency for Efficient Wireless Power Transfer

10.11591/ijece.v8i3.pp1331-1335
Kazuya Yamaguchi
This paper derives an expression of efficiency of wireless power transfer on a situation that there are two devices towards one AC power supply. The interaction between a power supply and load is paid attention on a conventional wireless power transfer system, in contrast, the interaction between loads must be taken account of on the situation too. This is attributed to a possibility that a load disturbs the energy transmitted from a power supply to another load. Moreover each load needs different frequency of power supply for the ideal transfer since they have different natural frequencies on many situations. This paper models a circumstance that there are a power supply and two loads with a state space equation, and proposes how to decide a frequency of power supply to realize efficient transfer for each load.
Volume: 8
Issue: 3
Page: 1331-1335
Publish at: 2018-06-01

Exponential MLWDF (EXP-MLWDF) Downlink Scheduling Algorithm Evaluated in LTE for High Mobility and Dense Area Scenario

10.11591/ijece.v8i3.pp1618-1628
Ismail Angri , Mohammed Mahfoudi , Abdellah Najid , Moulhime El Bekkali
Nowadays, with the advent of smartphones, most of people started to make voice and video conference calls continuously even in a high mobility scenario, the bandwidth requirements have increased considerably, which can cause network congestion phenomena. To avoid network congestion problems and to support high mobility scenario, 3GPP has developed a new cellular standard based packet switching, termed LTE (Long Term Evolution). The purpose of this paper is to evaluate the performance of the new proposed algorithm, named Exponential Modified Largest Weighted Delay First ‘EXP-MLWDF’, for high mobility scenario and with the presence of a large number of active users, in comparison with the well-known algorithms such as a proportional fair algorithm (PF), Exponential Proportional Fairness (EXP/PF), Logarithm Rule (LOG-Rule), Exponential Rule (EXP-Rule) and Modified Largest Weighted Delay First (MLWDF). The performance evaluation is conducted in terms of system throughput, delay and PLR. Finally, it will be concluded that the proposed scheduler satisfies the quality of service (QoS) requirements of the real-time traffic in terms of packet loss ratio (PLR), average throughput and packet delay. Because of the traffic evolution, some key issues related to scheduling strategies that will be considered in the future requirements are discussed in this article.
Volume: 8
Issue: 3
Page: 1618-1628
Publish at: 2018-06-01

Herb Leaves Recognition using Gray Level Co-occurrence Matrix and Five Distance-based Similarity Measures

10.11591/ijece.v8i3.pp1920-1932
R. Rizal Isnanto , Munawar Agus Riyadi , Muhammad Fahmi Awaj
Herb medicinal products derived from plants have long been considered as an alternative option for treating various diseases.  In this paper, the feature extraction method used is Gray Level Co-occurrence Matrix (GLCM), while for its recognition using the metric calculations of Chebyshev, Cityblock, Minkowski, Canberra, and Euclidean distances. The method of determining the GLCM Analysis based on the texture analysis resulting from the extraction of this feature is Angular Second Moment, Contrast, Inverse Different Moment, Entropy as well as its Correlation.  The recognition system used 10 leaf test images with GLCM method and Canberra distance resulted in the highest accuracy of 92.00%. While the use of 20 and 30 test data resulted in a recognition rate of 50.67% and 60.00%.
Volume: 8
Issue: 3
Page: 1920-1932
Publish at: 2018-06-01

Vision Based Approach to Sign Language Recognition

10.11591/ijaas.v7.i2.pp156-161
Himanshu Gupta , Aniruddh Ramjiwal , Jasmin T. Jose
We propose an algorithm for automatically recognizing some certain amount of gestures from hand movements to help deaf and dumb and hard hearing people. Hand gesture recognition is quite a challenging problem in its form. We have considered a fixed set of manual commands and a specific environment, and develop a effective, procedure for gesture recognition. Our approach contains steps for segmenting the hand region, locating the fingers, and finally classifying the gesture which in general terms means detecting, tracking and recognising. The algorithm is non-changing to rotations, translations and scale of the hand. We will be demonstrating the effectiveness of the technique on real imagery.
Volume: 7
Issue: 2
Page: 156-161
Publish at: 2018-06-01

Classification of Normal and Crackles Respiratory Sounds into Healthy and Lung Cancer Groups

10.11591/ijece.v8i3.pp1530-1538
N. Abdul Malik , W. Idris , T. S. Gunawan , R. F. Olanrewaju , S. Noorjannah Ibrahim
Lung cancer is the most common cancer worldwide and the third most common cancer in Malaysia. Due to its high prevalence worldwide and in Malaysia, it is an utmost importance to have the disease detected at an early stage which would result in a higher chance of cure and possibly better survival. The current methods used for lung cancer screening might not be simple, inexpensive and safe and not readily accessible in outpatient clinics. In this paper, we present the classification of normal and crackles sounds acquired from 20 healthy and 23 lung cancer patients, respectively using Artificial Neural Network. Firstly, the sounds signals were decomposed into seven different frequency bands using Discrete Wavelet Transform (DWT) based on two different mother wavelets namely Daubechies 7 (db7) and Haar. Secondly, mean, standard deviation and maximum PSD of the detail coefficients for five frequency bands (D3, D4, D5, D6, and D7) were calculated as features. Fifteen features were used as input to the ANN classifier. The results of classification show that db7 based performed better than Haar with perfect 100% sensitivity, specificity and accuracy for testing and validation stages when using 15 nodes at the hidden layer. While for Haar, only testing stage shows the perfect 100% for sensitivity, specificity, and accuracy when using 10 nodes at the hidden layer.
Volume: 8
Issue: 3
Page: 1530-1538
Publish at: 2018-06-01

PV Smart Grid Monitoring System Based on Hybrid Telepot and Web Server

10.11591/ijeecs.v10.i3.pp1061-1069
Eka Maulana Maulana , Ramadhani Kurniawan Subroto , Lunde Ardhenta
Monitoring system in the smart grid is a key aspect that determines the reliability of transmission and communication systems in the power grid. The aim of this research is to conduct monitoring in smart grid easier and obiquitous remotely. Measured electrical parameters in smart gird are monitored through Telegram social media and webservice internet-based wirelessly. The role of web service and telepot in the smart grid monitoring system are installed in Raspberry Pi 3 which responsible to receive and process data from sensor module on each nodes and saved in database. The MySQL database accommodates amounts of data containing information on the value of current, voltage, power and time stamp which deliver by sensor node. Web programming is designed using PHP to generate connection to the database and node sensor status that runs continuously. Processed data are conducted in telepot and it is converted in to *.csv file type before sent to the telegram user. The information were also shown in web site as well as in telegram over graph display form that utilize the Highcharts library. Graphs that shows information on voltage, current, and power values can be accessed through a browser using IP address from the Raspberry Pi 3 server. When the users request information to the server, they only need certain command through Telegram social media or open the web broser to access the information from the smart grid system.
Volume: 10
Issue: 3
Page: 1061-1069
Publish at: 2018-06-01
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