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Location Based Services with Location Centric Profiles

10.11591/ijece.v6i6.pp3001-3005
M.Ferni Ukrit , B. Venkatesh , Swetabh Suman
In the advancing world of technology, Mobile applications are a rapidly growing segment of the global mobile market. Mobile applications are evolving at a meteor pace to give users a rich and fast user experience. Android operating system supports most applications in today’s technical world. It is an open source operating system which highly satisfies the user’s needs. In this paper, the applications that are location based i.e. the applications that make use of the Global Positioning System (GPS) is discussed. It is a space based satellite navigation system which provides details of time and location in all weather conditions anywhere on or near earth. We introduce PROFILER, a framework for constructing location centric profiles (LCPs), aggregates built over the profiles of users that have visited discrete locations. In addition to a venue centric approach, we propose a decentralized solution for computing real time LCP snapshots over the profiles of collocated users. In our System we find the corresponding location using Global Positioning and Service Provider also. This is to change the profile mode automatically and alarm notification enable automatically when you are going to reach corresponding location or Regular Location.
Volume: 6
Issue: 6
Page: 3001-3005
Publish at: 2016-12-01

EEG Based Eye State Classification using Deep Belief Network and Stacked AutoEncoder

10.11591/ijece.v6i6.pp3131-3141
Sanam Narejo , Eros Pasero , Farzana Kulsoom
A Brain-Computer Interface (BCI) provides an alternative communication interface between the human brain and a computer. The Electroencephalogram (EEG) signals are acquired, processed and machine learning algorithms are further applied to extract useful information.  During  EEG acquisition,   artifacts  are induced due to involuntary eye movements or eye blink, casting adverse effects  on system performance. The aim of this research is to predict eye states from EEG signals using Deep learning architectures and present improved classifier models. Recent studies reflect that Deep Neural Networks are trending state of the art Machine learning approaches. Therefore, the current work presents the implementation of  Deep Belief Network (DBN) and Stacked AutoEncoders (SAE) as Classifiers with encouraging performance accuracy.  One of the designed  SAE models outperforms the  performance of DBN and the models presented in existing research by an impressive error rate of 1.1% on the test set bearing accuracy of 98.9%. The findings in this study,  may provide a contribution towards the state of  the  art performance on the problem of  EEG based eye state classification.
Volume: 6
Issue: 6
Page: 3131-3141
Publish at: 2016-12-01

Convergence Evaluation of a Load Flow Method based on Cespedes' Approach to Distribution System Analysis

10.11591/ijece.v6i6.pp3276-3282
Diego Issicaba , Jorge Coelho
This paper evaluates the convergence of a load flow method based on Cespedes' formulation to distribution system steady-state analysis. The method is described and the closed-form of its convergence rate is deduced. Furthermore, convergence dependence of loading and the consequences of choosing particular initial estimates are verified mathematically. All mathematical results have been tested in numerical simulations, some of them presented in the paper.
Volume: 6
Issue: 6
Page: 3276-3282
Publish at: 2016-12-01

Flexible Power Regulation of Grid-Connected Inverters for PV Systems Using Model Predictive Direct Power Control

10.11591/ijeecs.v4.i3.pp508-519
R S Ravi Sankar , S.V. Jayaram Kumar , K. K. Deepika
This paper presents a Model Predictive Direct Power Control (MPDPC) strategy for a grid-connected inverter used in a photovoltaic system, as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. Using a cost function, the voltage vector with least power ripple is generated. The resultant voltage vector is applied during the next sampling period which gives flexible power regulation. The effectiveness of the proposed MPDPC strategy is verified using MATLAB/ SIMULINK. 
Volume: 4
Issue: 3
Page: 508-519
Publish at: 2016-12-01

Protection Coordination and Anti Islanding Protection Solution for Biomass Power Plant Connected on Distribution Network

10.11591/ijece.v6i6.pp2526-2537
Srete N Nikolovski , Marko Vukobratović , Ljubomir Majdandzic
Protection coordination as well as anti-island protection play significant role in the process of biomass power plant connection on the distribution network. Distribution generation island operation in Croatia is unacceptable according to the existing National grid code Paper presents a protection coordination of all passive protections used in the real biomass power plant and connected distriubution network feeder. Short-circuits three phase, two phase and single line to ground faults and generator islanding simulations have been performed and simulated in the time domain at the different network  locations using DIgSILENT Power Factory software. The time-current plots coordination of protective devices are made using Smart PDC module in Easy Power Protector software tool.
Volume: 6
Issue: 6
Page: 2526-2537
Publish at: 2016-12-01

FPGA Hardware Realization: Addition of Two Digital Signals Based on Walsh Transforms

https://ijece.iaescore.com/index.php/IJECE/article/view/5880
Zulfikar Zulfikar , Shuja A Abbasi , Abdul Rahman M Alamoud
This paper presents hardware realization of addition of two digital signals based on Walsh transforms and inverse Walsh transforms targeted to the Xilinx FPGA Spartan 3 board. The realization utilizes Walsh Transform to convert the input data to frequency domain and the inverse Walsh transform to reconvert the data from frequency domain. The designed system is capable of performing addition, subtraction, multiplication and Arbitrary Waveform Generation (AWG). However, in the present work, the hardware realization of addition only has been demonstrated. The Clock frequency for realization into the board is supplied by an external function generator. Output results are captured using a logic analyzer. Input data to the board (system) is passed manually through the available slide switches on-board.
Volume: 6
Issue: 6
Page: 2688-2697
Publish at: 2016-12-01

A Multi-objective Hybrid Heuristic Approach for Optimal Setting of FACTS Devices in Power System Operation

10.11591/ijape.v5.i3.pp120-129
Sai Ram Inkollu , Venkata Reddy Kota
Improvement of power system performance in terms of increased voltage profile and decreased transmission loss is becoming one of the challenging tasks to the system operators under open access environment. Apart from traditional power flow controlling devices, use of Flexible AC Transmission System (FACTS) devices can give an attractive solution for the operation and control of deregulated power system. The type, size, location and number of FACTS devices are to be optimized appropriately in order to get the targeted benefits. In this paper, two FACTS devices, Thyristor Controller Phase Shift Transformer (TCPST) and Interline Power Flow Controller (IPFC) are selected to obtain the required performance such as improvement of voltage profile and loss minimization. To search the optimal location and optimal rating of the selected FACTS devices, a hybrid algorithm which formulated with Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) is proposed. At the first step, the optimization problem is solved for finding the optimal location of FACTS devices using PSO with an objective of voltage profile maximization and later GSA is implemented to optimize their parameters with an objective of transmission loss minimization. The proposed method is implemented on IEEE 30-bus test system and from the simulation results it can be proved that this technique is well suited for real-time application.  
Volume: 5
Issue: 3
Page: 120-129
Publish at: 2016-12-01

Design of Single-Stage Flyback PFC Converter for LED Driver

10.12928/telkomnika.v14i4.3966
Wang; Xi’an Technological University Qi , Wu; Xi’an Technological University Jie , Baohua; Xi’an Technological University Lang
A light emitting diode (LED) driver based on single-stage power factor correction (PFC) is presented in this paper. The designed LED driver using flyback topology can achieve power factor correction and constant-current drive LED in boundary conduction mode. The circuit principle is described in detail, the formulas for MOS switch-on time, switching frequency and the main impact factor of power factor are proposed. The experiment results show that the designed LED driver has high power factor, stable output and it can drive the LED with high efficiency.
Volume: 14
Issue: 4
Page: 1263-1268
Publish at: 2016-12-01

Fault Diagnosis in Medium Voltage Drive Based on Combination of Wavelet transform and Support Vector Machine

10.12928/telkomnika.v14i4.4033
Xudong; China University of Petroleum Cao , Shaozhe; China University of Petroleum Zhou , Jingze; China University of Petroleum Li , Shaohua; China University of Petroleum Zhang
Nowadays, Medium Voltage Drive (MVD) has been widely applied in the field of high-powered motor speed-regulation. These types of converter use a lot of insulated gate bipolar translators (IGBTs). So it is very important to find an effective way to diagnose IGBT open-circuit faults. This study describes a method of diagnosis for IGBT open-circuit faults in MVD whose topology is cell series of multi-level. This method combines wavelet transform (WT) and support vector machine (SVM). The wavelet transform is used to extract fault features and SVM is used to classify the fault states of a single power unit. Then, the trained SVM classifier is used to scan all power units of MVD sequentially. Results of simulation on the platform of MATLAB/Simulink show that this method has a good diagnosis capability. It can diagnose the IGBT open-circuit faults of the whole inverter system, and diagnosis accuracy is up to 96%. So, this method has a good application prospect.
Volume: 14
Issue: 4
Page: 1284-1291
Publish at: 2016-12-01

Chaos-Enhanced Cuckoo Search for Economic Dispatch with Valve Point Effects

10.12928/telkomnika.v14i4.3473
M. W.; Universiti Teknologi Malaysia Mustafa , Abdirahman; Universiti Teknologi Malaysia M. Abdilahi , M.; Universiti Teknologi Malaysia Mustapha
Economic dispatch determines the optimal generation outputs to minimize the toal fuel cost while satisfying the load demand and operational constraints. Modern optimization techniques fail to solve the problem in a robust manner and finding robust global optimization techniques is necessary for efficient system operation. In this study, the potentiality of introducing chaos into the standard Cuckoo Search (CS) in order to further enhance its global search ability is investigated. Deterministic chaotic maps are random-based techniques that can provide a balanced exploration and exploitation searches for the algorithm. Four different variants are generated by carefully choosing four different locations (within the standard CS) with potential adoption of a candidate chaotic map.Then detailed studies are carried out on benchmark power system problems with four different locations to find out the most efficient one. The best of all test cases generated is chosen and compared with algorithms presented in the literature. The results show that the proposed method with the proposed chaotic map outperforms standard CS. Additionally, the chaos-enhanced CS has a very good performance in comparison with QPSO and NSS.
Volume: 14
Issue: 4
Page: 1220-1227
Publish at: 2016-12-01

Particle Filtering Approach for GNSS RAIM and FPGA Implementation

10.12928/telkomnika.v14i4.4196
Ershen; Shenyang Aerospace University Wang , Fuxia; Shenyang Aerospace University Yang , Gang; Liaoning General Aviation Key Laboratory, Shenyang Tong , Pingping; Shenyang Aerospace University Qu , Tao; Shenyang Aerospace University Pang
The integrity monitoring system, as an integral part of aviation navigation system for global navigation satellite system (GNSS), should detect and isolated Failures or faults caused by system failures to maintain the integrity of the GNSS. The pseudorange residual noise of navigation satellites does not completely follow the Gaussian distribution, the performance of traditional filtering algorithms (such as the Kalman filtering) may be reduced due to non-Gaussian noise. The particle filter algorithm has great advantage to dealing with the nonlinear and non-Gaussian system. in this paper, the particle filter algorithm is applied to GNSS receiver autonomous integrity monitoring(RAIM) to detect the fault of navigation satellite. Firstly, Log likelihood ratio (LLR) testing is established; and then, the consistency between the state estimation of the main particle filter and the auxiliary particle filter is checked to determine whether the navigation satellite has failed; finally, the novel RAIM algorithm is undertaken by field programmable gate array (FPGA), the modules of the proposed RAIM algorithm is implemented. The effectiveness of the proposed approach is illustrated in a problem of GPS (Global Positioning System) autonomous integrity monitoring system, the algorithm and its implementation can be embeded in GNSS receiver.
Volume: 14
Issue: 4
Page: 1321-1328
Publish at: 2016-12-01

Optimal Modulation Algorithm for Hybrid Clamped Three-Level Inverter

10.12928/telkomnika.v14i4.3871
Yi; China University of Mining and Technology Liu , Guojun; China University of Mining and Technology Tan , Xiaoqun; China University of Mining and Technology He
The principle of a three phase hybrid clamped three-level inverter was presented. Taking sixty-four switch states into consideration, the operational states of hybrid clamped three-level inverter and different current circuits in different switch states were detailed derived. Optimal modulation algorithm was proposed based on the neutral small vectors by different combination, which can realize the automatic balancing of the neutral-point voltage with few switching cycles and did not need to measure the voltage of the clamped capacitors. The proposed modulation algorithm was also capable of restraining the turn-off over-voltage of the power switching devices effectively. Simulation results were given to verify the feasibility and correctness. Experimental results obtained by DSP-based implementation of the controller on 1 MW prototype show good performance in terms of DC-bus voltages regulation (small neutral point potential function and low DC ripple coefficient) and good sinusoidal current.
Volume: 14
Issue: 4
Page: 1253-1262
Publish at: 2016-12-01

Power Synthesis of Mask-Constrained Shaped Beams Through Maximally-Sparse Planar Arrays

10.12928/telkomnika.v14i4.4789
Andrea Francesco; University of Reggio Calabria Morabito
A new approach to the optimal synthesis of planar arrays able to radiate mask-constrained shaped beams by exploiting the minimum number of radiating elements is presented. By taking advantage from both the recent theory of Compressive Sensing and the multiplicity of equivalent solutions available for the generation of an unique shaped-beam power pattern, the synthesis results extremely fast and effective. In particular, the overall design is reduced to a Convex Programming optimization, with the inherent advantages in terms of solutions’ optimality and computational burden.
Volume: 14
Issue: 4
Page: 1217-1219
Publish at: 2016-12-01

Offline Signature Recognition using Back Propagation Neural Network

10.11591/ijeecs.v4.i3.pp678-683
Asyrofa Rahmi , Vivi Nur Wijayaningrum , Wayan Firdaus Mahmudy , Andi Maulidinnawati A. K. Parewe
The signature recognition is a difficult process as it requires several phases. A failure in a phase will significantly reduce the recognition accuracy. Artificial Neural Network (ANN) believed to be used to assist in the recognition or classification of the signature. In this study, the ANN algorithm used is Back Propagation. A mechanism to adaptively adjust the learning rate is developed to improve the system accuracy. The purpose of this study is to conduct the recognition of a number of signatures so that can be known whether the recognition which is done by using the Back Propagation is appropriate or not. The testing results performed by using learning rate of 0.64, the number of iterations is 100, and produces an accuracy value of 63%.
Volume: 4
Issue: 3
Page: 678-683
Publish at: 2016-12-01

Wireless Body Area Networks Routing Protocols: A Review

10.11591/ijeecs.v4.i3.pp594-604
Khalid Awan , Kashif Naseer Qureshi , Mehwish Mehwish
Wireless Body Area Networks (WBANs) are designed for monitoring the patient’s conditions and assist them in critical health situation. Tiny size wireless sensors sense the data related to patient health. Further, the sensed data sends to base station for further process. The base station sends the data to the nearest sink node or to the nearest medical center or hospital. In order to complete this entire process, wireless sensors need efficient routing without any error or delay. The routing protocols have been suffered with various challenges and issues which are related to the routing and energy issues. This paper provides a comprehensive survey of important existing routing protocols for WBANs. Paper also discusses the protocols strengths, limitations with their critical analysis.
Volume: 4
Issue: 3
Page: 594-604
Publish at: 2016-12-01
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