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29,758 Article Results

Daily Peak Load Forecast Using Artificial Neural Network

10.11591/ijece.v9i4.pp2256-2263
Ramesh Kumar V , Pradipkumar Dixit
The paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily peak load. A multi-layered feed forward neural network with Levenberg-Marquardt learning algorithm is used because of its good generalizing property and robustness in prediction. The input to the network is in terms of historical daily peak load data and corresponding daily peak temperature data. The network is trained to predict the load requirement ahead. The effectiveness of the proposed ANN approach to the short-term load forecasting problems is demonstrated by practical data from the Bangalore Electricity Supply Company Limited (BESCOM). The comparison between the proposed and the conventional methods is made in terms of percentage error and it is found that the proposed ANN model gives more accurate predictions with optimal number of neurons in the hidden layer.
Volume: 9
Issue: 4
Page: 2256-2263
Publish at: 2019-08-01

A New Design of Capacitive Power Transfer Based on Hybrid Approach for Biomedical Implantable Device

10.11591/ijece.v9i4.pp2365-2376
Zaki Mustapa , Shakir Saat , Yusmarnita Yusof
This paper presents the development of a new design method of capacitive power transfer (CPT) which is based on hybrid concept for Biomedical Implants. This method is able to improve various issues found in the widely used CPT system that is bipolar CPT method. Based on the ability of this purposed, the simulation of the CPT system has been designed to prove an amount of power transferred through a layer of tissue. The design used to validate the suggested model which to powering implanted device, and it was performed with 3cm square plates, which have a layer of beef with the 5mm thickness in between 2 coupling plate. Power signal was generated by Class E zero voltage switching. The Class E zero voltage switching has been designed to generating alternate current with the 1MHz frequency appropriate to the hybrid CPT system specification. 
Volume: 9
Issue: 4
Page: 2365-2376
Publish at: 2019-08-01

Homogeneous Components of a CDH Fuzzy Space

10.11591/ijece.v9i4.pp2691-2694
Samer Al Ghour
We prove that fuzzy homogeneous components of a CDH fuzzy topological space  (X,T) are clopen and also they are CDH topological subspaces of its 0-cut topological space (X,T0).   
Volume: 9
Issue: 4
Page: 2691-2694
Publish at: 2019-08-01

Sliding mode control-based system for the two-link robot arm

10.11591/ijece.v9i4.pp2771-2778
Trong-Thang Nguyen
In this research, the author presents the model of the two-link robot arm and its dynamic equations. Based on these dynamic equations, the author builds the sliding mode controller for each joint of the robot. The tasks of the controllers are controlling the Torque in each Joint of the robot in order that the angle coordinates of each link coincide with the desired values. The proposed algorithm and robot model are built on Matlab-Simulink to investigate the system quality. The results show that the quality of the control system is very high: the response angles of each link quickly reach the desired values, and the static error equal to zero.
Volume: 9
Issue: 4
Page: 2771-2778
Publish at: 2019-08-01

Parallelising reception and transmission in queues of secondary users

10.11591/ijece.v9i4.pp3221-3227
Lak Sad
In a cognitive radio network, the secondary users place the packets to be transmitted on a queue to control the order of arrival and to adapt to the network state. Previous conceptionsassigned to each secondary user a single queue that contains both received and forwarded packets. Our present article divides the main queue into two sub queues: one to receive the arrived packets and the other to transmit the available packets. This approach reduces the transmission delay due on the one hand; to the shifting of data placed on the single queue, and on the other hand; to the sequential processing of reception and transmission, in theprevious designs. All without increasing the memory capacity of the queue, in the new approach.
Volume: 9
Issue: 4
Page: 3221-3227
Publish at: 2019-08-01

The analysis of facial feature deformation using optical flow algorithm

10.11591/ijeecs.v15.i2.pp769-777
Dayang Nur Zulhijah Awang Jesemi , Hamimah Ujir , Irwandi Hipiny , Sarah Flora Samson Juan
Facial features deformed according to the intended facial expression. Specific facial features are associated with specific facial expression, i.e. happy means the deformation of mouth. This paper presents the study of facial feature deformation for each facial expression by using an optical flow algorithm and segmented into three different regions of interest. The deformation of facial features shows the relation between facial the and facial expression. Based on the experiments, the deformations of eye and mouth are significant in all expressions except happy. For happy expression, cheeks and mouths are the significant regions. This work also suggests that different facial features' intensity varies in the way that they contribute to the recognition of the different facial expression intensity. The maximum magnitude across all expressions is shown by the mouth for surprise expression which is 9x10-4. While the minimum magnitude is shown by the mouth for angry expression which is 0.4x10-4.
Volume: 15
Issue: 2
Page: 769-777
Publish at: 2019-08-01

Novel framework of retaining maximum data quality and energy efficiency in reconfigurable wireless sensor network

10.11591/ijece.v9i4.pp2893-2901
B. Prathiba , K. Jaya Sankar , V. Sumalatha
There are various unseen and unpredictable networking states in Wireless Sensor Network (WSN) that adversely affect the aggregated data quality. After reviewing the existing approaches of data quality in WSN, it was found that the solutions are quite symptomatic and they are applicable only in a static environment; however their successful applicability on dynamic and upcoming reconfigurable network is still a big question. Moreover, data quality directly affects energy conservation among the nodes. Therefore, the proposed system introduces a simple and novel framework that jointly addresses the data quality and energy efficiency using probability-based design approach. Using a simplified analytical methodology, the proposed system offers solution in the form of selection transmission of an aggergated data on the basis of message priority in order to offer higher data utilization factor. The study outcome shows proposed system offers a good balance between data quality and energy efficiency in contrast to existing system.
Volume: 9
Issue: 4
Page: 2893-2901
Publish at: 2019-08-01

MG-leach: an enhanced leach protocol for wireless sensor network

10.11591/ijece.v9i4.pp3139-3145
Hicham Ouldzira , Hajar Lagraini , Ahmed Mouhsen , Mostafa Chhiba , Abdelmoumen Tabyaoui
A wireless sensor network is made up of a large number of small sensor nodes with limited energy resources, which is a real problem for this network. In this article, we will study the ingestion of node energy in these networks at the routing level. In addition, we are modifying one of the most popular routing algorithms for data communication in the WSN: LEACH (Adaptive Hierarchy with Low Power Consumption). The modified version of the LEACH base version "MG_LEACH" uses an intermediate cluster header to transmit data, extend the network lifetime and send more data than the original protocol. Our proposed algorithm is simulated using MATLAB to verify the effectiveness of improving the lifetime of this network. The results of the simulation confirmed that the system was working better than the LEACH basic system and that the network life had been improved.  
Volume: 9
Issue: 4
Page: 3139-3145
Publish at: 2019-08-01

Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier transform Computer Algorithm

10.11591/ijece.v9i4.pp2541-2547
Radhwan Hussein Abdulzhraa AL-Sagheer , K. I. Mohammed , Alaa Abdul Hussein Mezher , Karrar Abdullah Mohammed Habeeban
One of the most prominent problems experienced by the oil facilities is leakage of oil from the pipes. This problem caused 55% of oil refineries to be shut off. Oil leakage is a common problem that often results in oil waste, damage, and hazard to public health. Therefore, it is necessary to use Modern technologies to reduce this phenomenon and avoid them in advance. Pipes that convey fluids have many uses in various industries and living facilities. Risk increases when the fluid inside the pipe is flammable. In this work, main case that cause damage to the pipe, longitudinal crack is investigate.This work presents a new experimental model based on computer applications with a Fast Fourier transform (FFT) algorithm for testing the effect of longitudinal crack length by frequency and ultrasonic measurements to measure fluid velocity. The method is used for plastic pipe with 2 cm internal diameter, 3 cm external diameter, and 1 m length. The modulus of elasticity of the material is 800 N/mm2 according to the ISO 178 test method. The pipe conveys oil with simply supported ends. The results show that FFT model shows better features compared with other ways that depends on visual inspection or localized measurements which gave an external perception of pipeline damage. FFT model offers a reliable and cheap style for ensuring pipeline integrity and warning the risks before its occurrence. From the observations made the fundamental natural frequency (FNF) decreases by increasing of crack length in the pipe that conveys fluid
Volume: 9
Issue: 4
Page: 2541-2547
Publish at: 2019-08-01

Integrated Modelling Approach for Enhancing Brain MRI with Flexible Pre-Processing Capability

10.11591/ijece.v9i4.pp2416-2424
Harish S , G.F Ali Ahammed
The assurance of an information quality of the input medical image is a critical step to offer highly precise and reliable diagnosis of clinical condition in human. The importance of such assurance becomes more while dealing with important organ like brain. Magnetic Resonance Imaging (MRI) is one of the most trusted mediums to investigate brain. Looking into the existing trends of investigating brain MRI, it was observed that researchers are more prone to investigate advanced problems e.g. segmentation, localization, classification, etc considering image dataset. There is less work carried out towards image preprocessing that potential affects the later stage of diagnosing. Therefore, this paper introduces a novel model of integrated image enhancement algorithm that is capable of solving different and discrete problems of performing image pre-processing for offering highly improved and enhanced brain MRI. The comparative outcomes exhibit the advantage of its simplistic implemetation strategy.
Volume: 9
Issue: 4
Page: 2416-2424
Publish at: 2019-08-01

Characterization of concurrent ku band tropospheric scintillation and rain attenuation in Malaysia

10.11591/ijeecs.v15.i2.pp956-961
Ibtihal Fawzi Elshami , Jafri Din , Lam Hong Yin , Ali I Elgayar
Tropospheric scintillation in satellite communication systems operating at frequencies over 10 GHz is a significant impairment, especially in tropical regions, as attenuation affects scintillation dramatically. This work concentrates on tropospheric scintillation in equatorial Johor Bahru, Malaysia, based on a one-year Ku-band propagation measurement study utilising a direct broadcast receiver and an automatic weather station. This study aimed to investigate the relationship between wet scintillation and rain attenuation using experimental measurements. The power spectral analysis has been carried out to determine required cut-off frequency of filtering to separate out rain attenuation and scintillation effects. The results can provide significant information on the fluctuations of wet scintillation at Ku-band earth space link in tropical regions.
Volume: 15
Issue: 2
Page: 956-961
Publish at: 2019-08-01

Modeling of micro-grid with the consideration of total harmonic distortion analysis

10.11591/ijeecs.v15.i2.pp581-592
Ibrahim Alhamrouni , Wira Wahab , M. Salem , Nadia H. A. Rahman , Lili Awalin
With the rapid expansion of electricity grid, there yet still places to be covered considering their remote location. Micro-grid (MG) is a solution in this scenario, in fact, there is actually many cases where MG is used in case of emergency and act as a backup to the main electrical grid. By disconnecting itself from the larger grid, a grid that can have many problems, the micro-grid becomes much more flexible in its operations and by continuing to power households and communities alike. Besides grid-connected mode, it is necessary for the MG to operate in autonomous mode. By operating in islanded mode, micro-grids must be able to supply critical load without interruption, run at specific values for voltage and power and extract the maximum power from the distributed generations (DG). Therefore, the modeling of microgrid network considering solar photovoltaic(PV) and wind turbine generation (WTG) system as the distributed generation have been modeled using Matlab/Simulink in this research. Apart from that, the observation of total harmonic distortion(THD) between two operation modes of grid-connected and the islanded-mode is presented in order to analyze the power quality stability towards two operations MG network with same loads size and network parameters.
Volume: 15
Issue: 2
Page: 581-592
Publish at: 2019-08-01

A VNF modeling approach for verification purposes

10.11591/ijece.v9i4.pp2627-2636
Guido Marchetto , Riccardo Sisto , Matteo Virgilio , Jaloliddin Yusupov
Network Function Virtualization (NFV) architectures are emerging to increase networks flexibility. However, this renewed scenario poses new challenges, because virtualized networks, need to be carefully verified before being actually deployed in production environments in order to preserve network coherency (e.g., absence of forwarding loops, preservation of security on network traffic, etc.). Nowadays, model checking tools, SAT solvers, and Theorem Provers are available for formal verification of such properties in virtualized networks. Unfortunately, most of those verification tools accept input descriptions written in specification languages that are difficult to use for people not experienced in formal methods. Also, in order to enable the use of formal verification tools in real scenarios, vendors of Virtual Network Functions (VNFs) should provide abstract mathematical models of their functions, coded in the specific input languages of the verification tools. This process is error-prone, time-consuming, and often outside the VNF developers’ expertise. This paper presents a framework that we designed for automatically extracting verification models starting from a Java-based representation of a given VNF. It comprises a Java library of classes to define VNFs in a more developer-friendly way, and a tool to translate VNF definitions into formal verification models of different verification tools.
Volume: 9
Issue: 4
Page: 2627-2636
Publish at: 2019-08-01

Power System Reliability Assessment in a Complex Restructured Power System

10.11591/ijece.v9i4.pp2296-2302
N.Mahiban Lindsay , A.K. Parvathy
The basic purpose of an electric power system is to supply its consumers with electric energy as parsimoniously as possible and with a sensible degree of continuity and quality. It is expected that the solicitation of power system reliability assessment in bulk power systems will continue to increase in the future especially in the newly deregulated power diligence. This paper presents the research conducted on the three areas of incorporating multi-state generating unit models, evaluating system performance indices and identifying transmission paucities in complex system adequacy assessment. The incentives for electricity market participants to endow in new generation and transmission facilities are highly influenced by the market risk in a complex restructured environment. This paper also presents a procedure to identify transmission deficiencies and remedial modification in the composite generation and transmission system and  focused on the application of probabilistic techniques in composite system adequacy assessment
Volume: 9
Issue: 4
Page: 2296-2302
Publish at: 2019-08-01

MHMIC Six-port Interferometer for W-band Transceivers: Design and Characterization

10.11591/ijece.v9i4.pp2703-2714
Emilia Moldovan , Nazih Khaddaj Mallat , Serioja Ovidiu Tatu
The study has presented an extensive analysis of an integrated millimeter wave six-port interferometer, operating over a 10 GHz band, from 80 to 90 GHz. It has covered both semi-unlicensed point-to-point links (81-86 GHz), and imaging sensor system frequencies (above 85 GHz). An in-house process is used to fabricate miniaturized hybrid millimeter wave integrated circuits on a very thin ceramic substrate. Two-port S-parameter measurements are performed on a minimum number of circuits integrated on the same die, exploiting the circuit’s physical symmetry and chosen to collect enough data for full-port characterization. Based on these measurements on an integrated prototype, a six-port circuit computer model implemented and advanced system simulations performed for circuit analysis. Interferometer performances evaluated using several methods: analysis of harmonic balance, qi points’, homodyne quadrature demodulation, and error vector modulation (EVM). The analysis showed that this circuit can directly perform, without any calibration, the demodulation of various PSK and QAM signals over the 10 GHz band, with very good results.
Volume: 9
Issue: 4
Page: 2703-2714
Publish at: 2019-08-01
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