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31,128 Article Results

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

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

Descending Viewer Method for Fault Tolerant Control

10.11591/ijape.v7.i3.pp199-210
K. Lenin
In this paper Descending Viewer Method (DVM) projected for finding and fault tolerant control of stator inter-turn short circuit faults in doubly-fed induction generators based in wind turbine. A process has been developed that allows the way from ostensible controllers designed for strong condition, to vigorous controllers designed for defective condition. Finally value of the rotor resistance estimated & is based on the use of the error between real and probable value of doubly fed induction generator (DFIG) in faulty condition, this will perk up the performance of this viewer. Simulation results show the reliability of the proposed Descending Viewer Method (DVM) approach.
Volume: 7
Issue: 3
Page: 199-210
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

Design and Simulation Analysis of Three-Phase Transformer Less Grid-Connected PV Inverters

10.11591/ijape.v7.i3.pp211-226
Jayanna Kanchikere , A. K. Ghosh , Kalyankumar Kalyankumar
Three-stage transformer less inverter is broadly utilized as a part of low power photovoltaic (PV) framework associated frameworks because of its little size, high proficiency and ease. At the point when no transformer is utilized as a part of a framework associated photovoltaic (PV) framework, a galvanic association between the lattice and PV exhibit exists. In these conditions, perilous spillage streams (basic mode ebbs and flows) can show up through the stray capacitance between the PV cluster and the ground. The previous, keeping in mind the end goal to make a galvanic separation between the info and the yield incorporate a transformer (obligatory in a few nations) that restrains the entire framework exhibitions as far as effectiveness, weight, size and cost. Actually, transformer less inverters don't present any separation and are described by minimal size, bring down cost and higher effectiveness (over 2% higher). In any case, the absence of transformers prompts spillage streams that can be hurtful to the human body, and in addition for the entire transformation framework uprightness. With a specific end goal to keep away from the spillage streams, different Transformer less inverters have been proposed utilizing diverse topologies to create consistent regular mode voltage. In this paper, different as of late proposed transformer less PV inverters are researched. Their exhibitions are thought about and broke down.
Volume: 7
Issue: 3
Page: 211-226
Publish at: 2018-12-01

A Comparison Study of Reactive Power Control Strategies in Wind Farms with SVC and STATCOM

10.11591/ijece.v8i6.pp4836-4846
Nazha Cherkaoui , Touria Haidi , Abdelaziz Belfqih , Faissal El Mariami , Jamal Boukherouaa
In the recent years, the integration of the wind farms into the electrical grids has increased rapidly. Especially, the wind power plants made up with doubly fed induction generators due to its many advatanges, such as being able to control its reactive power. Hence, some countries have published grid code requirements related to the reactive power that the wind turbines have to satisfy. This paper presents a coordinated reactive power control strategy in which STATCOM and doubly fed induction generators in wind power plants are used in order to bring back the voltage at the point of common coupling in the allowable range. First, reactive power requirements that the wind farms have to fulfill in some European countries are introduced. Second, the reactive power limitations of 2MW doubly fed induction generator are determined. Then, the static synchronous compensator (STATCOM) and the synchronous var compensator (SVC) FACTS (Flexible AC Transmission Systems) devices are presented. Finaly, various reactive power control strategies are applied to 10 MW wind farm, and the simulation results are analysed and compared.
Volume: 8
Issue: 6
Page: 4836-4846
Publish at: 2018-12-01

Implementation of Ultra-Modified Symmetric Sequence Algorithm for Space Vector Modulation of Matrix Converter

10.11591/ijape.v7.i3.pp264-276
Kotb B. Tawfiq , A. S. Mansour , E. E. EL-Kholy
This paper proposes an ultra- modified symmetric sequence algoritm of space vector modulation of matrix converter. The ultra-modified technique improves the drawbacks of the modified one where it provides a reduction of the total harmonic distortion for both output voltage and output current. Some of the advantages of matrix converter are introduced in this paper. These advantages represented in the output frequency of matrix converter which may be greater than input frequency, controlling rms value of the output voltage and the ability to control the input displacement factor.At the end of this paper simulation and experimental results are introduced which give a presice proof to the proposed algorithms.
Volume: 7
Issue: 3
Page: 264-276
Publish at: 2018-12-01

Effort Estimation in Traditional and Agile Mobile Application Development & Testing

10.11591/ijeecs.v12.i3.pp1265-1272
Anureet kaur , Kulwant Kaur
Smartphones/mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology.
Volume: 12
Issue: 3
Page: 1265-1272
Publish at: 2018-12-01

A Review on Various Sniffing Attacks and its Mitigation Techniques

10.11591/ijeecs.v12.i3.pp1117-1125
B. Prabadevi , N. Jeyanthi
Security in the era of digital computing plays a vital role. Of various attacks in the field of computing, Distributed Denial of service (DDoS) attacks, Man-in-the-Middle Attack (MITM) and data theft have their major impact on the emerging applications. The sniffing attacks, one of the most prominent reasons for DDoS attacks, are the major security threats in the client-server computing. The content or packet sniffer snorts the most sensitive information from the network and alters or disturbs the legitimate functionality of the victim system. Therefore it is extremely important to have a greater knowledge on these vulnerabilities, their issues, and various mitigation techniques. This study analyses the existing sniffing attacks, variations of sniffing attacks and prevention or detection mechanisms. The reasons for most vital Ransomware are also discussed.
Volume: 12
Issue: 3
Page: 1117-1125
Publish at: 2018-12-01

Towards Adaptive Sensor-cloud for Internet of Things

10.12928/telkomnika.v16i6.11557
I Made; Universitas Pelita Harapan Murwantara , Hendra; Universitas Pelita Harapan Tjahyadi , Pujianto; Universitas Pelita Harapan Yugopuspito , Arnold; Universitas Pelita Harapan Aribowo , Irene A.; Universitas Pelita Harapan Lazarusli
The emerge of the Internet of Things (IoT) data as a commodity to optimize public services such as Fishing Locator has made sensor-cloud an important object. When sensors that are members of multiple IoT gateways can inter-operate at the same time for more than one application, it will reduce cost to deploy IoT infrastructure. However, reliability has also developed as the most important aspect for real-time data collection that should be streamed constantly. Due to uncertainty factors sensors failure is potentially occurred, then an adaptive approach should be addressed into this as to guarantee the flow of streaming data. This paper proposed an adaptive sensor-cloud mechanism to manage the reliability by using a runtime model approach where a transition model and dynamic software product line engineering will take place to weaving the system. Our technique is comparable to other approaches and can be implemented in many types of Cloud-based services.
Volume: 16
Issue: 6
Page: 2771-2781
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

Thermodynamic Performance and Wave Propagation Sensor System of Fiber Bragg Grating in Liquid Media

10.12928/telkomnika.v16i6.9563
Romi F.; Universitas Riau Syahputra , Ridho; Baristand Industri Banda Aceh Kurniawan , Yunita I.; Universitas Riau Lubis , Mesra; Universitas Riau Sania , Okfalisa; UIN Suska Okfalisa , Saktioto; Universitas Riau Saktioto
Although the measurement of liquids temperature is commonly used by Fiber Bragg Grating (FBG) sensor but its thermodynamic performance has interesting phenomena. This paper proposes the measurement and simulation of liquids temperature using FBG. Laser diode was launched into human blood, water, and vegetable oil, then transmitted power is measured by optical powermeter to determine its corresponding temperature. The results showed that the increasing temperature changes led to the widening of the wave shift. The largest change of wavelength is water temperature and the smallest One is vegetable oil temperature. Increase in liquid temperature causes the output power is greater. FBG simulation of sine and square function are also designed for temperature range of 30°C to 41°C with matrix transfer method based on coupled mode theory. Peak value of transmission spectrum of each function is shown by the change of temperature which indicates the sensor is sensitive to sine and square function variations. The peak at temperature of 30°C for each sine and square are -78.32 dB and -102.66 dB and increased to 41°C at 46.72 dB and -79.89 dB, respectively.
Volume: 16
Issue: 6
Page: 2661-2667
Publish at: 2018-12-01

Bank of Extended Kalman Filters for Faults Diagnosis in Wind Turbine Doubly Fed Induction Generator

10.12928/telkomnika.v16i6.10426
Imane; Normandy University/UNIRouen Idrissi , Houcine; Normandy University/UNIRouen Chafouk , Rachid El; USMBA University Bachtiri , Maha; USMBA University Khanfara
In order to increase the efficiency, to ensure availability and to prevent unexpected failures of the doubly fed induction generator (DFIG), widely used in speed variable wind turbine (SVWT), a model based approach is proposed for diagnosing stator and rotor winding and current sensors faults in the generator. In this study, the Extended Kalman Filter (EKF) is used as state and parameter estimation method for this model based diagnosis approach. The generator windings faults and current instruments defects are modelled, detected and isolated with the use of the faults indicators called residuals, which are obtained based on the EKF observer. The mathematical model of DFIG for both healthy and faulty operating conditions is implemented in Matlab/Simulink software. The obtained simulation results demonstrate the effectiveness of the proposed technique for diagnosis and quantification of the faults under study.
Volume: 16
Issue: 6
Page: 2954-2966
Publish at: 2018-12-01

Decision Making in the Tea Leaves Diseases Detection Using Mamdani Fuzzy Inference Method

10.11591/ijeecs.v12.i3.pp1273-1281
Arif Ridho Lubis , Santi Prayudani , Muharman Lubis , Al Khowarizmi
The tea plants (Camellia Sinensis) are small tree species that use leaves and leaf buds to produce tea harvested through a monoculture system. It is an agriculture practice to cultivate one types of crop or livestock, variety or breed on a farm annually. Moreover, the emergence of pests, pathogens and diseases cause serious damages to tea plants significantly to its productivity and quality to optimum worst. All parts of the tea plant such as leaves, stems, roots, flowers and fruits are exposed to these harm lead to loss of yield 7 until 10% per year. The intensity of these attacks vary greatly on particular climate, the degree slope and the plant material used. Therefore, this study analyzes tea leaves as a common part used in recipes to create unique taste and flavor in tea production, especially in agro-industry. The decision making method used is Fuzzy Mamdani Inference as one of model with functional hierarchy with initial input based on established criteria. Fuzzy logic will provide tolerance to the set of value, so that small changes will not result in significant category differences, only affect the membership level on the variable value. Previous method using probabilities have shown 78% tea leaves have been attacked by category C (Gray Blight) while using Mamdani indicated 86% of tea leaves have been infected. In this case, this result pointed out that Fuzzy Mamdani Inferences have more optimal result compare to the previous method.
Volume: 12
Issue: 3
Page: 1273-1281
Publish at: 2018-12-01
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