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31,291 Article Results

Optimization of the Thyristor Controlled Phase Shifting Transformer using PSO Algorithm

10.11591/ijece.v8i6.pp5472-5483
Hadi Suyono , Rini Nur Hasanah , Paramita Dwi Putri Pranyata
The increase of power system demand leads to the change in voltage profile, reliability requirement and system robustness against disturbance. The voltage profile can be improved by providing a source of reactive power through the addition of new power plants, capacitor banks, or implementation of Flexible AC Transmission System (FACTS) devices such as Static VAR Compensator (SVC), Unified Power Flow Control (UPFC), Thyristor Controlled Series Capacitor (TCSC), Thyristor Controlled Phase Shifting Transformer (TCPST), and many others. Determination of optimal location and sizing of device injection is paramount to produce the best improvement of voltage profile and power losses reduction. In this paper, optimization of the combined advantages of TCPST and TCSC has been investigated using Particle Swarm Optimization (PSO) algorithm, being applied to the 30-bus system IEEE standard. The effectiveness of the placement and sizing of TCPST-TCSC combination has been compared to the implementation of capacitor banks. The result showed that the combination of TCPST-TCSC resulted in more effective improvement of system power losses condition than the implementation of capacitor banks.  The power losses reduction of 46.47% and 42.03% have been obtained using of TCPST-TCSC combination and capacitor banks respectively. The TCPST-TCSC and Capacitor Bank implementations by using PSO algorithm have also been compared with the implementation of Static VAR Compensator (SVC) using Artificial Bee Colony (ABC) Algorithm. The implementation of the TCSC-TCPST compensation with PSO algorithm have gave a better result than using the capacitor bank with PSO algorithm and SVC with the ABC algorithm.
Volume: 8
Issue: 6
Page: 5472-5483
Publish at: 2018-12-01

A Computational Analysis of ECC Based Novel Authentication Scheme in VANET

10.11591/ijece.v8i6.pp5268-5277
Sachin P. Godse , Parikshit N. Mahalle
A recent development in the adhoc network is a vehicular network called VANET (Vehicular Adhoc Network). Intelligent Transportation System is the Intelligent application of VANET. Due to open nature of VANET attacker can launch various kind of attack. As VANET messages are deal with very crucial information’s which may save the life of passengers by avoiding accidents, save the time of people on a trip, exchange of secret information etc., because of this security is must be in the VANET. To ensure the highest level of security the network should be free from attackers, there by all information pass among nodes in the network must be reliable i.e. should be originated by an authenticated node. Authentication is the first line of security in VANET; it avoids nonregistered vehicle in the network. Previous research come up with some Cryptographic, Trust based, Id based, Group signature based authentication schemes. A speed of authentication and privacy preservation is important parameters in VANET authentication. This paper addresses the computational analysis of authentication schemes based on ECC. We started analysis from comparing plain ECC with our proposed AECC (Adaptive Elliptic Curve Cryptography) and EECC (Enhanced Elliptic Curve Cryptography). The result of analysis shows proposed schemes improve speed and security of authentication. In AECC key size is adaptive i.e. different sizes of keys are generated during key generation phase. Three ranges are specified for key sizes small, large and medium. In EECC we added an extra parameter during transmission of information from the vehicle to RSU for key generation. Schemes of authentications are evaluated by comparative analysis of time required for authentication and key breaking possibilities of keys used in authentication.
Volume: 8
Issue: 6
Page: 5268-5277
Publish at: 2018-12-01

Ant System and Weighted Voting Method for Multiple Classifier Systems

10.11591/ijece.v8i6.pp4705-4712
Abdullah Husin , Ku Ruhana Ku-Mahamud
Combining multiple classifiers is considered as a general solution for classification tasks. However, there are two problems in combining multiple classifiers: constructing a diverse classifier ensemble; and, constructing an appropriate combiner. In this study, an improved multiple classifier combination scheme is propose. A diverse classifier ensemble is constructed by training them with different feature set partitions. The ant system-based algorithm is used to form the optimal feature set partitions. Weighted voting is used to combine the classifiers’ outputs by considering the strength of the classifiers prior to voting. Experiments were carried out using k-NN ensembles on benchmark datasets from the University of California, Irvine, to evaluate the credibility of the proposed method. Experimental results showed that the proposed method has successfully constructed better k-NN ensembles. Further more the proposed method can be used to develop other multiple classifier systems.
Volume: 8
Issue: 6
Page: 4705-4712
Publish at: 2018-12-01

Detection and Monitoring Intra/Inter Crosstalk in Optical Network on Chip

10.11591/ijece.v8i6.pp4912-4921
Ahmed Jedidi
Multiprocessor system-on-chip (MPSoC) has become an attractive solution for improving the performance of single chip in objective to satisfy the performance growing exponentially of the computer applications as multimedia applications. However, the communication between the different processors’ cores presents the first challenge front the high performance of MPSoC. Besides, Network on Chip (NoC) is among the most prominent solution for handling the on-chip communication. Besides, NoC potential limited by physical limitation, power consumption, latency and bandwidth in the both case: increasing data exchange or scalability of Multicores. Optical communication offers a wider bandwidth and lower power consumption, based on, a new technology named Optical Network-on-Chip (ONoC) has been introduced in MPSoC. However, ONoC components induce the crosstalk noise in the network on both forms intra/inter crosstalk. This serious problem deteriorates the quality of signals and degrades network performance. As a result, detection and monitoring the impairments becoming a challenge to keep the performance in the ONoC. In this article, we propose a new system to detect and monitor the crosstalk noise in ONoC. Particularly, we present an analytic model of intra/inter crosstalk at the optical devices. Then, we evaluate these impairments in objective to present the motivation to detect and monitor crosstalk in ONoC, in which our system has the capability to detect, to localize, and to monitor the crosstalk noise in the whole network. This system offers high reliability, scalability and efficiency with time running time less than 20 ms.
Volume: 8
Issue: 6
Page: 4912-4921
Publish at: 2018-12-01

Seven Level Inverter Fault Mitigation Using Redundant Cell for Induction Motor Drive

10.11591/ijape.v7.i3.pp284-298
B. Madhu Kiran , B. V. Sanker Ram
Faults that might occur in inverter driven induction motor drives. In this paper, seven-level multi level inverter was taken up for testing of mitigation using redundant cell and the results were compared with five-level inverter to exhibit the performance of mitigation policy. This paper presents analysis of inverter feeding an induction motor drive when switch open and short fault occurs. When the fault occurs, the redundant cell activates and thus the drive system operates. In this paper, the function for redundant cell was explained with the results of drive system simulated in Matlab/Simulink.
Volume: 7
Issue: 3
Page: 284-298
Publish at: 2018-12-01

Revealing AES Encryption Device Key on 328P Microcontrollers with Differential Power Analysis

10.11591/ijece.v8i6.pp5144-5152
Septafiansyah Dwi Putra , Adang Suwandi Ahmad , Sarwono Sutikno , Yusuf Kurniawan , Arwin Datumaya Wahyudi Sumari
This research demonstrates the revealing of an advanced encryption standard (AES) encryption device key. The encryption device is applied to an ATMEGA328P microcontroller. The said microcontroller is a device commonly used in internet of things (IoT). We measured power consumption when the encryption process is taking place. The message sent to the encryption device is randomly generated, but the key used has a fixed value. The novelty of this research is the creation of a systematic and optimal circuit in carrying the differential power analysis or difference of means (DPA/DoM) technique, so the technique can be applied in key revealing on a microcontroller device by using 500 traces in 120 seconds.
Volume: 8
Issue: 6
Page: 5144-5152
Publish at: 2018-12-01

Employee Performance Measurement in Teleworking Using Balanced Scorecard

10.11591/ijece.v8i6.pp5178-5184
Sunu Sugi Arso , Sfenrianto Sfenrianto , Mochamad Wahyudi
Key Performance Indicator (KPI) must be aligned with the development of the organization. PT. Mitra Intregrasi Informatika (MII) in its development decided to change the traditional way of work to modern telework. This encourages companies to adjust employee’s KPI from the traditional way of work turns in to telework. In order to perform KPI measurement of its employees based on teleworking, this research uses balanced scorecard method approach that is by taking into account financial, customer, and internal business process and learning and growth perspective. The results of this study are the design proposal KPI employees to accommodate telework at the company. Then KPI employee test results showed an increase in the average value of the employee KPI of 0.295 points (9.47%) of the old KPI. Thus, it is recommended to the company to implement the employee KPI.
Volume: 8
Issue: 6
Page: 5178-5184
Publish at: 2018-12-01

Grid Connected Distributed Generation System with High Voltage Gain Cascaded DC-DC Converter Fed Asymmetric Multilevel Inverter Topology

10.11591/ijece.v8i6.pp4047-4059
S. Nagaraja Rao , D. V. Ashok Kumar , Ch. Sai Babu
The paper presents distributed generation (DG) system in grid connected mode of operation with asymmetric multi-level inverter (AMLI) topology. Cascaded type DC-DC converter is employed to feed proposed AMLI topology. The DG output voltage (generally low voltage) is stepped up to the required level of voltage using high-gain DC-DC converter. Proposed AMLI topology consists of capacitors at the primary side. The output of high-gain DC-DC converter is fed to split voltage balance single-input multi-output (SIMO) circuit to maintain voltage balance across capacitors of AMLI topology. Cascaded DC-DC converters (both high-gain converter and SIMO circuit) are operated in closed-loop mode. The proposed AMLI feeds active power to grid converting DC type of power generated from DG to AC type to feed the grid. PWM pattern to trigger power switches of AMLI is also presented. The inverting circuit of MLI topology is controlled using simplified Id-Iq control strategy in this paper. With the proposed control theory, the active power fed to grid from DG is controlled and power factor is maintained at unity. The proposed system of DG integration to grid through cascaded DC-DC converters and AMLI structure is validated from fixed active power to grid from DG condition. The proposed system is developed and results are obtained using MATLAB/SIMULINK software.
Volume: 8
Issue: 6
Page: 4047-4059
Publish at: 2018-12-01

A New Photovoltaic Energy Sharing System between Homes in Standalone Areas

10.11591/ijece.v8i6.pp4855-4862
A. Mezouari , R. Elgouri , M. Igouzal , M. Alareqi , K. Mateur , H. Dahou , L. Hlou
Today, global energy consumption is dominated by fossil fuels such as oil, coal and gas. The intensive consumption of these energy sources gives rise to greenhouse gas emissions and therefore an increase in CO2 emissions. Photovoltaic energy has persistently been considered as a green and pollution-free renewable energy source to overcome greenhouse effect and energy crisis. This paper describes a new method of photovoltaic energy sharing in standalone micro-grids using photovoltaic panels. This approach is based on automatic electrical energy sharing depending on the state of charge (SOC) of the electrical storage unit using by each home and on the electrical power consumption of each home.The monitoring system is connected to each home in micro-grid, it manage each home’s energy use, and assigns more energy to a large energy-consuming home. This architecture contributes to reducing total energy lost.
Volume: 8
Issue: 6
Page: 4855-4862
Publish at: 2018-12-01

A Survey on Multimedia Content Protection Mechanisms

10.11591/ijece.v8i6.pp4204-4211
Gottumukkala Hima Bindu , Chinta Anuradha , Patnala S. R. Chandra Murthy
Cloud computing has emerged to influence multimedia content providers like Disney to render their multimedia services. When content providers use the public cloud, there are chances to have pirated copies further leading to a loss in revenues. At the same time, technological advancements regarding content recording and hosting made it easy to duplicate genuine multimedia objects. This problem has increased with increased usage of a cloud platform for rendering multimedia content to users across the globe. Therefore it is essential to have mechanisms to detect video copy, discover copyright infringement of multimedia content and protect the interests of genuine content providers. It is a challenging and computationally expensive problem to be addressed considering the exponential growth of multimedia content over the internet. In this paper, we surveyed multimedia-content protection mechanisms which throw light on different kinds of multimedia, multimedia content modification methods, and techniques to protect intellectual property from abuse and copyright infringement. It also focuses on challenges involved in protecting multimedia content and the research gaps in the area of cloud-based multimedia content protection.
Volume: 8
Issue: 6
Page: 4204-4211
Publish at: 2018-12-01

Robust Speed-Sensorless Vector Control of Doubly Fed Induction Motor Drive Using Sliding Mode Rotor Flux Observer

10.11591/ijape.v7.i3.pp235-250
Djamila Cherifi , Yahia Miloud
This paper presents a robust observer for sensorless speed control of doubly fed induction motor (DFIM), based on the slidin mode. In the first step, a model of the doubly fed induction motor fed by two PWM inverters with separate DC bus link is developed. In the second step and in order to provide a robust separate control between flux and motor speed a vector control by field oriented strategy applying a sliding mode regulator was implemented. Finally, speed estimation of a doubly fed induction motor based on sliding mode observer is presented. The simulation tests schow the effectiveness of the proposed method especially in the load disturbances, the change of the refrence speed and low speed. Also the influence of parameter variations will be studied by simulation
Volume: 7
Issue: 3
Page: 235-250
Publish at: 2018-12-01

A Detail Study of Wavelet Families for EMG Pattern Recognition

10.11591/ijece.v8i6.pp4221-4229
Jingwei Too , A. R. Abdullah , Norhashimah Mohd Saad , N. Mohd Ali , H. Musa
Wavelet transform (WT) has recently drawn the attention of the researchers due to its potential in electromyography (EMG) recognition system. However, the optimal mother wavelet selection remains a challenge to the application of WT in EMG signal processing. This paper presents a detail study for different mother wavelet function in discrete wavelet transform (DWT) and continuous wavelet transform (CWT). Additionally, the performance of different mother wavelet in DWT and CWT at different decomposition level and scale are also investigated. The mean absolute value (MAV) and wavelength (WL) features are extracted from each CWT and reconstructed DWT wavelet coefficient. A popular machine learning method, support vector machine (SVM) is employed to classify the different types of hand movements. The results showed that the most suitable mother wavelet in CWT are Mexican hat and Symlet 6 at scale 16 and 32, respectively. On the other hand, Symlet 4 and Daubechies 4 at the second decomposition level are found to be the optimal wavelet in DWT. From the analysis, we deduced that Symlet 4 at the second decomposition level in DWT is the most suitable mother wavelet for accurate classification of EMG signals of different hand movements. 
Volume: 8
Issue: 6
Page: 4221-4229
Publish at: 2018-12-01

Wireless Technology for Monitoring Site-specific Landslide in Vietnam

10.11591/ijece.v8i6.pp4448-4455
Gian Quoc-Anh , Nguyen Dinh-Chinh , Tran Duc-Nghia , Tran Duc-Tan , Kieu Nguyen Thi , Kumbesan Sandrasegaran
Climate change has caused an increasing number of landslides, especially in the mountainous provinces of Vietnam, resulting in the destruction of vital transport and other infrastructure. Current monitoring and forecasting systems of the meteorology department cannot deliver accurate and reliable forecasts for weather events and issue timely warnings. This paper describes the development of a simple, low cost, and efficient system for monitoring and warning landslide in real-time. The authors focus on the use of wireless and related technologies in the implementation of a technical solution and some of the problems of the wireless sensor network (WSN) related to power consumption. Promising compressed sensing (CS) based solution for landslide monitoring is discussed and evaluated in the paper.
Volume: 8
Issue: 6
Page: 4448-4455
Publish at: 2018-12-01

Negative Total Float to Improve a Multi-Objective Integer Non-Linear Programming for Project Scheduling Compression

10.11591/ijece.v8i6.pp5292-5302
Fachrurrazi Fachrurrazi , Abdullah Abdullah , Yuwaldi Away , Teuku Budi Aulia
This paper presents Multi-Objective Integer Non-Linear Programming (MOINLP) involving Negative Total Float (NTF) for improving the basic model of Multi-Objective Programming (MOP) in case the optimization of the additional cost for Project Scheduling Compression (PSC). Using the basic MOP to solve the more complex problems is a challenging task. We suspect that Negative Total Float (NTF) having an indication to make the basic MOP to solve the more general case, both simple and complex of PSC. The purpose of this research is identifying the conflicting objectives in PSC problem using NTF and improving MOINLP by involving the NTF parameter to solve the PSC problem. The Solver Application, which is an add-in of MS Excel, is used to perform optimization process to the model developed. The results show that NTF has an important role to identify the conflicting objectives in PSC. We define NTF is an automatic maximum value of the activity duration reduction to achieve due date of PSC. Furthermore, the use of NTF as a constraint in MOINLP can solve the more general case for both simple and complex PSC problem. Base on the condition, we state that the basic MOP is still significant to solve the PSC complex problems using MOINLP as a sophisticated MOP technique.
Volume: 8
Issue: 6
Page: 5292-5302
Publish at: 2018-12-01

Multicarrier SPWM Control Techniques for Three Phase Eleven Level Diode Clamped Multilevel Inverter and Hybrid Inverter with Reduced Number of Components

10.11591/ijape.v7.i3.pp251-263
N. Susheela , P. Satish Kumar
A comparative analysis of three phase eleven level diode clamped multilevel inverter (DCMLI) and hybrid inverter is performed in this paper in which the later requires fewer carrier signals, less number of devices and gate drive circuits. The performance is evaluated using phase disposition (PD), alternate phase opposition disposition (APOD) and carrier overlapping (CO) sinusoidal pulse width modulation (SPWM) methods. The hybrid multilevel inverter has superior features over diode clamped multilevel inverters and is more efficient since the positive levels of the inverter that are generated  by high frequency switches (level generation part), are reversed by low frequency switches (polarity generation part) when the voltage polarity is required to be changed for negative polarity. Therefore, the overall cost and complexity of the hybrid inverter are greatly reduced particularly for higher inverter output voltage levels. Simulation is performed for three phase eleven level diode clamped multilevel inverter and hybrid multilevel inverter using MATLAB/Simulink for induction motor load and the total harmonic distortion is evaluated at different load torques.
Volume: 7
Issue: 3
Page: 251-263
Publish at: 2018-12-01
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