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30,609 Article Results

Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Protocol in Mobile Ad-hoc Networks

10.11591/ijece.v8i3.pp1460-1466
Bindiya Bhatia , M. K. Soni , Parul Tomar
With the increase in the evolution of wireless communication, the ad-hoc networks are gaining attention and are significantly becoming the technology solutions to the various problems. Mobile ad-hoc Networks (MANETs) are envisaged to grow as a main component in the today 4G architecture, and ad hoc networks are projected to be a significant element of the whole future wireless communication. The MANETs are infrastructure less, self-forming and self-organizing network in which there is no control of any centralized entity. The nodes are free to move around the network with dynamic topology. But this self formation, flexibility and scalability create many challenges and design constraints like hidden  terminal, limited bandwidth, limited energy of a node, unpredictable change in the topology etc. Bandwidth and energy are the scarce resources of the network. In order to effectively manage the consumption of bandwidth and energy, an algorithm is proposed which is the extension of traditional Dynamic Source Routing (DSR) reactive routing protocol. The extended protocol applies the mobile agents to carry the data. The proposed work is intended to optimize the bandwidth and making the protocol energy efficient.
Volume: 8
Issue: 3
Page: 1460-1466
Publish at: 2018-06-01

Autonomous Traffic Signal Control using Decision Tree

10.11591/ijece.v8i3.pp1522-1529
Rithesh R N , Vignesh R. , Anala M. R.
The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.
Volume: 8
Issue: 3
Page: 1522-1529
Publish at: 2018-06-01

Performance Improvement for Hybrid L-band Remote Erbium Doped Fiber Amplifier/Raman using Phase Modulator

10.11591/ijece.v8i3.pp1875-1881
Nelidya Md. Yusoff , A. H. Sulaiman , Sumiaty Ambran , Azura Hamzah , M. A. Mahdi
We have demonstrated the performance improvement of L-band hybrid remote Erbium-doped fiber amplifier by introducing a phase modulator to suppress the stimulated Brilloiun scattering (SBS) effect in the transmission. The transmission gain has improved by 12.65dB while the noise figure has reduced by 47.1dB when 0dBm signal power is generated at 1590.05nm wavelength. Furthermore, the optical signal-to-noise ratio has improved from 7.81dB to 29.72dB when the signal power is varied from -30dBm to 0dBm. By implementing a phase modulator to the input signal somehow able to produce better performance regarding gain, noise figure and optical signal-to-noise ratio, especially at the higher signal power as the gain, has been transferred to the Stokes signal and the amplified signal.
Volume: 8
Issue: 3
Page: 1875-1881
Publish at: 2018-06-01

Positive Interval Observer-based State Feedback Controller for Uncertain General Anaesthesia System

10.11591/ijeecs.v10.i3.pp1000-1006
Jing Jing Chang , S. Syafiie
The drug delivery process of general anaesthesia in the human body is most commonly described by the Pharmacokinetic/Pharmacodynamic (PK/PD) model. Since the PK model is a positive linear system, the design of the controller can be treated as a positive stabilization problem. In this paper, a state feedback controller with positive interval observer was designed using a linear programming approach by taking into account the inter-individual variability among patient in the PK model. The designed controller was assessed by simulation on a pool of patients. The result shows that the design of a fix controller for the whole population is difficult due to the conflict between performance and robustness.
Volume: 10
Issue: 3
Page: 1000-1006
Publish at: 2018-06-01

Voltage Oriented Decoupled Control Scheme for DFIG’s Grid Side Converter

10.12928/telkomnika.v16i3.6756
S.A; Universidad de Talca Kamran , Javier; Universidad de Talca Muñoz
This paper proposes a novel voltage oriented decoupled control scheme for the DFIG’s Grid Side Converter (GSC) of a 2.3Mw, 690V, 50Hz, 6 pole doubly-fed induction generator (DFIG) based wind generation system. For Rotor Side Converter (RSC), slip and constant V/Hz control scheme along with a feedback control via PWM is selected but not explained in this paper.Based on the per-phase steady state equivalent circuit model of a DFIG, relationship between stator and rotor voltages is developed. Voltage oriented decoupled control scheme for GSC is designed in such a way that it can keep the dc link voltage constant by regulating grid reactive power when required. The space vector modulation (SVM) algorithm is explained breifly and implemented for the two-level GSC. MATLAB/SIMULINK (R2015a) software validates the proposed control scheme for GSC.
Volume: 16
Issue: 3
Page: 1027-1033
Publish at: 2018-06-01

Optimal Reactive Power Dispatch using Crow Search Algorithm

10.11591/ijece.v8i3.pp1423-1431
Lakshmi M , Ramesh Kumar A
The optimal reactive power dispatch is a kind of optimization problem that plays a very important role in the operation and control of the power system. This work presents a meta-heuristic based approach to solve the optimal reactive power dispatch problem. The proposed approach employs Crow Search algorithm to find the values for optimal setting of optimal reactive power dispatch control variables. The proposed way of approach is scrutinized and further being tested on the standard IEEE 30-bus, 57-bus and 118-bus test system with different objectives which includes the minimization of real power losses, total voltage deviation and also the enhancement of voltage stability. The simulation results procured thus indicates the supremacy of the proposed approach over the other approaches cited in the literature.
Volume: 8
Issue: 3
Page: 1423-1431
Publish at: 2018-06-01

Application Development Risk Assessment Model Based on Bayesian Network

10.12928/telkomnika.v16i3.7288
Jaka; Institut Teknologi Bandung Sembiring , Johan P.; BPS, Statistics of Tapanuli Utara Regency Sipayung , Arry A.; Institut Teknologi Bandung Arman
This paper describes a new risk assessment model for application development and its implementation. The model is developed using a Bayesian network and Boehm’s software risk principles. The Bayesian network is created after mapping top twenty risks in software projects with interrelationship digraph of risk area category. The probability of risk on the network is analyzed and validated using both numerical simulation and subjective probability from several experts in the field and a team of application developers. After obtaining the Bayesian network model, risk exposure is calculated using Boehm's risk principles. Finally, the implementation of the proposed model in a government institution is shown as a real case illustration.
Volume: 16
Issue: 3
Page: 1376-1385
Publish at: 2018-06-01

ETDCC: Energy-Efficient Transmission Scheme for Dynamic Climatic Conditions in WSN

10.12928/telkomnika.v16i3.8513
Sunil; Motilal Nehru National Institute of Technology Allahaba Kumar , Prateek Raj; Motilal Nehru National Institute of Technology Allahaba Gautam , Tarique; Motilal Nehru National Institute of Technology Allahaba Rashid , Akshay; Motilal Nehru National Institute of Technology Allahaba Verma , Arvind; Motilal Nehru National Institute of Technology Allahaba Kumar
In this paper, an energy-efficient transmission scheme for dynamic climatic conditions (ETDCC) has been proposed in wireless sensor networks (WSNs). This scheme is based on IEEE802.15.4 standard. In this method, open-loop and closed-loop feedback systems are used for snowfall variation. An open-loop system is utilized for snowfall-aware link quality compensation and estimation. However, closed-loop system aids to split the network into two logical regions, resulting the overhead of total control packets is minimized. According to link quality changes due to snowfall variation, the transmitting power is decided on the basis of current number of neighbor nodes and threshold power loss for each region. The simulated results depict that the proposed scheme with reduced control packets overhead adjusts transmitting power level (Plevel) to compensate link quality. This scheme based on threshold level is compared with the conventional approach that comprises the division of regions without threshold level.
Volume: 16
Issue: 3
Page: 1126-1134
Publish at: 2018-06-01

Wavelet-Based Color Histogram on Content-Based Image Retrieval

10.12928/telkomnika.v16i3.7771
Alexander; Bina Nusantara University Alexander , Jeklin; Bina Nusantara University Harefa , Yudy; Bina Nusantara University Purnama , Harvianto; Bina Nusantara University Harvianto
The growth of image databases in many domains, including fashion, biometric, graphic design, architecture, etc. has increased rapidly. Content Based Image Retrieval System (CBIR) is a technique used for finding relevant images from those huge and unannotated image databases based on low-level features of the query images. In this study, an attempt to employ 2nd level Wavelet Based Color Histogram (WBCH) on a CBIR system is proposed. Image database used in this study are taken from Wang’s image database containing 1000 color images. The experiment results show that 2nd level WBCH gives better precision (0.777) than the other methods, including 1st level WBCH, Color Histogram, Color Co-occurrence Matrix, and Wavelet texture feature. It can be concluded that the 2nd Level of WBCH can be applied to CBIR system.
Volume: 16
Issue: 3
Page: 1256-1263
Publish at: 2018-06-01

Power Estimation for Wearable Piezoelectric Energy Harvester

10.12928/telkomnika.v16i3.9034
Noor Hazrin Hany; University Malaysia Mohamad Hanif , Mohd Zulhilmi; University Malaysia Zain , Mas Ehsan; University Malaysia Rohaimie , Huda; University Malaysia Azam
The aim of this research work is to estimate the amount of electricity produced to power up wearable devices using a piezoelectric actuator, as an alternative to external power supply. A prototype of the device has been designed to continuously rotate a piezoelectric actuator mounted on a cantilever beam. A MATLAB® simulation was done to predict the amount of power harvested from human kinetic energy. Further simulation was conducted using COMSOL Multiphysics® to model a cantilever beam with piezoelectric layer. With the base excitation and the presence of tip mass at the beam, the natural frequencies and mode shapes have been analyzed to improve the amount of energy harvested. In this work, it was estimated that a maximum amount of power that could be generated is 250 μW with up to 5.5V DC output. The outcome from this research works will aid in optimising the design of the energy harvester. This research work provides optimistic possibility in harvesting sufficient energy required for wearable devices.
Volume: 16
Issue: 3
Page: 983-988
Publish at: 2018-06-01

Effect of Dew and Raindrops on Electric Field around EHV Transmission Lines

10.12928/telkomnika.v16i3.5408
Budi; National College Technology of Yogyakarta (STTNAS) Utama , Asniar; National College Technology of Yogyakarta (STTNAS) Aliyu
This paper analyses the change of electric field in the proximity of 500 kV extra high voltage (EHV) transmission lines, in the presence of raindrops and dew. The computations were carried out using MatLab software by solving the electrostatic equations. The analysis depicts that the spatial distribution of the electric field strength varies with water drop content along the lateral distance along the transmission line. The peak electric field reduces with the water drop content, whereas the electric field remains the same at around 36 m from the transmission line. Then onwards the field strength increases with the water drop content. At long distances the field strength is not affected by the water drops. Such variation is highly important to analyse the adverse effects on the insulators used in HV applications. The results are of high significance to a country such as Indonesia where the precipitation levels are generally high in most parts of the country.
Volume: 16
Issue: 3
Page: 974-982
Publish at: 2018-06-01

Comprehensive Pineapple Segmentation Techniques with Intelligent Convolutional Neural Network

10.11591/ijeecs.v10.i3.pp1098-1105
Muhammad Azmi Ahmed Nawawi , Fatimah Sham Ismail , Hazlina Selamat
This paper proposes an intelligent segmentation technique for pineapple fruit using Convolutional Neural Network (CNN). Cascade Object Detector (COD) method is used to detect the position of the pineapple from the captured image by returning the bounding box around the detecting pineapple. Image background such as ground, sky and other unwanted objects have been removed using Hue value, Adaptive Red and Blue Chromatic Map (ARB) and Normalized Difference Index (NDI) methods. However, the ARB and NDI methods are still producing misclassified error and the edge is not really smooth. In this case Template Matching Method (TMM) has been implemented for image enhancement process. Finally, an intelligent CNN is developed as a decision maker to select the best segmentation image ouput from ARB and NDI. The results obtained show that the proposed intelligent method has successfully verified the fruit from the background with high accuracy as compared to the conventional method.
Volume: 10
Issue: 3
Page: 1098-1105
Publish at: 2018-06-01

Self-adaptive Software Modeling Based on Contextual Requirements

10.12928/telkomnika.v16i3.7032
Aradea; Bandung Institute of Technology Aradea , Iping; Bandung Institute of Technology Supriana , Kridanto; Bandung Institute of Technology Surendro
The ability of self-adaptive software in responding to change is determined by contextual requirements, i.e. a requirement in capturing relevant context-atributes and modeling behavior for system adaptation. However, in most cases, modeling for self-adaptive software is does not take into consider the requirements evolution based on contextual requirements. This paper introduces an approach through requirements modeling languages directed to adaptation patterns to support requirements evolution. The model is prepared through contextual requirements approach that is integrated into MAPE-K (monitor, anayze, plan, execute - knowledge) patterns in goal-oriented requirements engineering. As an evaluation, the adaptation process is modeled for cleaner robot. The experimental results show that the requirements modeling process has been able to direct software into self-adaptive capability and meet the requirements evolution.
Volume: 16
Issue: 3
Page: 1276-1288
Publish at: 2018-06-01

Text to Emotion Extraction Using Supervised Machine Learning Techniques

10.12928/telkomnika.v16i3.8387
Muhammad Anwarul; University of Chittagong Azim , Mahmudul Hasan; University of Chittagong Bhuiyan
Proliferation of internet and social media has greatly increased the popularity of text communication. People convey their sentiment and emotion through text which promotes lively communication. Consequently, a tremendous amount of emotional text is generated on different social media and blogs in every moment. This has raised the necessity of automated tool for emotion mining from text. There are various rule based approaches of emotion extraction form text based on emotion intensity lexicon. However, creating emotion intensity lexicon is a time consuming and tedious process. Moreover, there is no hard and fast rule for assigning emotion intensity to words. To solve these difficulties, we propose a machine learning based approach of emotion extraction from text which relies on annotated example rather emotion intensity lexicon. We investigated Multinomial Naïve Bayesian (MNB) Classifier, Artificial Neural Network (ANN) and Support Vector Machine (SVM) for mining emotion from text. In our setup, SVM outperformed other classifiers with promising accuracy.
Volume: 16
Issue: 3
Page: 1394-1401
Publish at: 2018-06-01

Classification of Atrial Arrhythmias using Neural Networks

10.11591/ijai.v7.i2.pp90-94
Jai Utkarsh , Raju Kumar Pandey , Shrey Kumar Dubey , Shubham Sinha , S. S. Sahu
Electrocardiogram (ECG) is an important tool used by clinicians for successful diagnosis and detection of Arrhythmias, like Atrial Fibrillation (AF) and Atrial Flutter (AFL). In this manuscript, an efficient technique of classifying atrial arrhythmias from Normal Sinus Rhythm (NSR) has been presented. Autoregressive Modelling has been used to capture the features of the ECG signal, which are then fed as inputs to the neural network for classification. The standard database available at Physionet Bank repository has been used for training, validation and testing of the model. Exhaustive experimental study has been carried out by extracting ECG samples of duration of 5 seconds, 10 seconds and 20 seconds. It provides an accuracy of 99% and 94.3% on training and test set respectively for 5 sec recordings. In 10 sec and 20 sec samples it shows 100% accuracy. Thus, the proposed method can be used to detect the arrhythmias in a small duration recordings with a fairly high accuracy.
Volume: 7
Issue: 2
Page: 90-94
Publish at: 2018-06-01
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