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Embedded real-time system for detecting leakage of the gas used in iraqi kitchens

10.11591/ijeecs.v14.i3.pp1171-1176
Husam Kareem
A major issue that happens in kitchens of houses and/or restaurants is the leakage of gas used as a fuel for cooker stove, which is commonly referred to as LPG (liquefied petroleum gas). LPG leakage may lead to a serious fire or even a deadly explosion that might affect the surrounding people. A substantial solution to avoid such disasters is by stopping its main cause. Therefore designing a device capable of monitoring and detecting such gases can minimize the dangerous and unwanted incidents by LPG leakage. This paper introduces a low cost and energy efficient real-time monitoring system that able to sense different dangerous gases, specifically those used for stove cooker. This system considers the pros of the previously introduced systems and fixes the cons available in those systems. In addition, the manufacturing cost has been taken into consideration. If the system senses any type of LPG gas (there is a gas leakage), it will react by making three different actions. It will make an alert sound to notify the people around the leakage place, send an SMS to two cell phones, and show, on an LCD screen, the leakage location.
Volume: 14
Issue: 3
Page: 1171-1176
Publish at: 2019-06-01

Reengineering framework for open source software using decision tree approach

10.11591/ijece.v9i3.pp2041-2048
Jaswinder Singh , Kanwalvir Singh , Jaiteg Singh
A Software engineering is an approach to software development. Once software gets developed and delivered, it needs maintenance. Changes in software incur due to new requirements of the end-user, identification of bug in software or failure to achieve system objective. It has been observed that successive maintenance in the developed software reduces software quality and degrades the performance of software system. Reengineering is an approach of retaining the software quality and improving maintainability of the software system. But the question arises “when to reengineer the software”. The paper proposed a framework for software reengineering process using decision tree approach which helps decision makers to decide whether to maintain or reengineer the software systems.
Volume: 9
Issue: 3
Page: 2041-2048
Publish at: 2019-06-01

Development of square wave inverter using DC/DC boost converter

10.11591/ijpeds.v10.i2.pp636-644
M. Z. Aihsan , N. I. Ahmad , W. A. Mustafa , N. A. Rahman , J. A. Soo
This paper proposes an alternative topology of an inverter to the existing topologies available in the market. A prototype is intended with the purpose of investigates the possibility of designing an inverter using two Boost Converters. This project initialized with a series of simulations using Matlab in order to determine the feasibility of the proposed topology. The next step is the design and development of the proposed prototype where suitable electronics components are chosen based on the simulation result. A PIC microcontroller is used to control the proposed prototype where a control scheme is created based on the programming in the microcontroller. The performance of the proposed prototype has been verified to be optimum by several practical testing using different values of capacitor, inductor and duty cycle. Lastly, data and analysis are presented in a proper mannered way. In the end, this project intends to produce stepped-up square wave output voltage waveform by proper controlling of two Boost Converters.
Volume: 10
Issue: 2
Page: 636-644
Publish at: 2019-06-01

Data mining techniques application for prediction in OLAP cube

10.11591/ijece.v9i3.pp2094-2102
Asma Lamani , Brahim Erraha , Malika Elkyal , Abdallah Sair
Data warehouses represent collections of data organized to support a process of decision support, and provide an appropriate solution for managing large volumes of data. OLAP online analytics is a technology that complements data warehouses to make data usable and understandable by users, by providing tools for visualization, exploration, and navigation of data-cubes. On the other hand, data mining allows the extraction of knowledge from data with different methods of description, classification, explanation and prediction. As part of this work, we propose new ways to improve existing approaches in the process of decision support. In the continuity of the work treating the coupling between the online analysis and data mining to integrate prediction into OLAP, an approach based on automatic learning with Clustering is proposed in order to partition an initial data cube into dense sub-cubes that could serve as a learning set to build a prediction model. The technique of data mining by regression trees is then applied for each sub-cube to predict the value of a cell.
Volume: 9
Issue: 3
Page: 2094-2102
Publish at: 2019-06-01

Economical and efficient technique for a static localized maximum sun lux determination

10.11591/ijpeds.v10.i2.pp777-784
Ahmed H. Ali , Adel S. Nada , Ahmed S. Shalaby
Solar energy is one of the most promising renewable sources that is currently being used worldwide to contribute for meeting rising demands. In this paper solar irradiance measurement will experimentally carried out in two different regions in Egypt; Cairo and Luxor cities. This paper proposes a simple solar lux measurement using a light dependent resistor (LDR) with an arduino kit. This technique is based on two approaches which are coarse and fine maximum sun lux determination. This is based on the predetermined 260 vertical slop of the LDR. Coarse tuning determines one of the reach sun lux quarter (900) of horizontal quad. The fine tuning allocates the optimized 100 in which; the maximum sun lux can be obtained. The optimal values of sun lux were found between the (90o–180o) quarter. This study confirms that the narrow ten degrees (95o-105o) are the optimized static sun lux extraction for the two site field measurements. This novel technique can be used for locating the angle of best installations for the solar cell at which maximum solar energy can be extracted. 
Volume: 10
Issue: 2
Page: 777-784
Publish at: 2019-06-01

Adaptive resources assignment in OFDM-based cognitive radio systems

10.11591/ijece.v9i3.pp1935-1943
Shirin Razmi , Naser Parhizgar
Spectrum efficiency of orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems can be improved by adaptive resources allocation. In resources allocation, transmission resources such as modulation level and transmission power are adaptively assigned based on channel variations. The goal of this paper is maximize the total transmission rate of secondary user (SU). Hence, we investigate adaptive power and modulation allocation to achieve this purpose. For power allocation, we investigate optimal and conventional methods and then introduce a novel suboptimal algorithm to calculate the transmission power of each subcarrier. In addition, for adaptive modulation, we consider two kinds of modulations including multi-quadrature amplitude modulation (MQAM) and multi-phase-shift keying (MPSK). Also, simulation results are indicated the performance of our algorithm.
Volume: 9
Issue: 3
Page: 1935-1943
Publish at: 2019-06-01

PID controller using rapid control prototyping techniques

10.11591/ijece.v9i3.pp1645-1655
Odair A. Trujillo , Nicolás Toro-García , Fredy E. Hoyos
To analyze the performance of the PID controller in a buck type converter implemented in real time. We begin by designing a continuous controller using the analytical method for calculating PIDs. Pulse width modulation is then used and bifurcation diagrams analyzed to reveal some problems of switching and sampling time. The model converter is then implemented with a PID controller in dSPACE. The experimental results provide detailed requirements of sampling frequency and switching speed, and show the performance of the PID controller. Converters are used in power generation solar systems and conmuted power sources for feed telecommunication devices, smart grids, and other applications.
Volume: 9
Issue: 3
Page: 1645-1655
Publish at: 2019-06-01

Automated segmentation and classification technique for brain stroke

10.11591/ijece.v9i3.pp1832-1841
N. S. M. Noor , N. M. Saad , A. R. Abdullah , N. M. Ali
Difussion-Weighted Imaging (DWI) plays an important role in the diagnosis of brain stroke by providing detailed information regarding the soft tissue contrast in the brain organ. Conventionally, the differential diagnosis of brain stroke lesions is performed manually by professional neuroradiologists during a highly subjective and time- consuming process. This study proposes a segmentation and classification technique to detect brain stroke lesions based on diffusion-weighted imaging (DWI). The type of stroke lesions consists of acute ischemic, sub-acute ischemic, chronic ischemic and acute hemorrhage. For segmentation, fuzzy c-Means (FCM) and active contour is proposed to segment the lesion’s region. FCM is implemented with active contour to separate the cerebral spinal fluid (CSF) with the hypointense lesion. Pre-processing is applied to the DWI for image normalization, background removal and image enhancement. The algorithm performance has been evaluated using Jaccard Index, Dice Coefficient (DC) and both false positive rate (FPR) and false negative rate (FNR). The average results for the Jaccard index, DC, FPR and FNR are 0.55, 0.68, 0.23 and 0.23, respectively. First statistical order method is applied to the segmentation result to obtain the features for the classifier input. For classification technique, bagged tree classifier is proposed to classify the type of stroke. The accuracy results for the classification is 90.8%. Based on the results, the proposed technique has potential to segment and classify brain stroke lesion from DWI images.
Volume: 9
Issue: 3
Page: 1832-1841
Publish at: 2019-06-01

Memetic chicken swarm algorithm for job shop scheduling problem

10.11591/ijece.v9i3.pp2075-2082
Soukaina Cherif Bourki Semlali , Mohammed Essaid Riffi , Fayçal Chebihi
This paper presents a Memetic Chicken swarm optimization (MeCSO) to solve job shop scheduling problem (JSSP). The aim is to find a better solution which minimizes the maximum of the completion time also called Makespan. In this paper, we adapt the chicken swarm algorithm which take into consideration the hierarchical order of chicken swarm while seeking for food. Moreover, we integrate 2-opt method to improve the movement of the rooster. The new algorithm is applied on some instances of ORLibrary. The empirical results show the forcefulness of MeCSO comparing to other metaheuristics from literature in term of run time and quality of solution.
Volume: 9
Issue: 3
Page: 2075-2082
Publish at: 2019-06-01

Forecasting ASEAN countries exchange rates using auto regression model based on triangular fuzzy number

10.11591/ijeecs.v14.i3.pp1525-1532
Hamijah Mohd Rahman , Nureize Arbaiy , Riswan Efendi , Chuah Chai Wen
Exchange rate forecasting is important to represent the expectation of exchange rates future values. The forecasting task is due to the economic factor and the historical data used to forecast are exposed to uncertainty and observational error during data collection. The existing auto regression model only deals with uncertainty exist in the model, not in the data preparation. Uncertainties may contained in the data input and should be treated during data preparation which is an early stage of forecasting process. To date, only few researches discuss intensely on a fuzzy data preparation. However, data treatment during data preparation is important to reduce model’s error due to uncertainty problem. Hence, this paper presents an approach to construct Triangular Fuzzy Number to handle uncertainty in data during data preparation. As the Triangular Fuzzy Number is often used to represent uncertain information in a form of interval, this study proposed a procedure to construct Triangular Fuzzy Number from single point data. In this study, the Triangular Fuzzy Number is built in a form of symmetric triangular with 1%, 3% and 5% spread value. Autoregressive model is then used to forecast the exchange rate of Association of South East Asian Nation (ASEAN) countries. The result in this study shows that the forecasting exchange rate is significantly important to trace the movement of ASEAN countries exchange rates and beneficial in forecasting planning.
Volume: 14
Issue: 3
Page: 1525-1532
Publish at: 2019-06-01

Intelligent controller based power quality improvement of microgrid integration of photovoltaic power system using new cascade multilevel inverter

10.11591/ijece.v9i3.pp1514-1523
Gaddala Jayaraju , Gudapati Sambasiva Rao
Now a day the power demand has a major problem for developing countries due to the growth of population, industries, IT companies and other needs. In this present situation the fossil fuel-based power generation alone does not support the consumer needs, poor power quality due to nonlinear function and very harmful for environment. The main objective of this paper is improving the power quality of grid connected photovoltaic power system through a new cascade H-bridge multilevel inverter. The proposed research work has been modelled and controlled by ANFIS intelligence in MATLAB simulation environment. The simulation results are analysed under various operating conditions for improve the performance of proposed system. Finally, the proposed system THD value of simulation results is compared with IEEE 1547 standard for prove the effectiveness of proposed research work.
Volume: 9
Issue: 3
Page: 1514-1523
Publish at: 2019-06-01

Renewable power interface based rural telecom

10.11591/ijpeds.v10.i2.pp917-927
W. Margaret Amutha , H. Caleb Andrew , A. Debie Shajie , J. Praveen Immanuel Paulraj
To power remote area telecom where grid supplied electricity is unreliable, an alternative exists in the form of renewable energy sources. These sources mainly rely on the weather condition of a particular area for their source of power. To overcome such problem, hybridization of energy sources are prefered. Hybridization of solar-wind systems use a separate converter for each source thus leading to a complex, bulky and less efficient system. This paper presents a single renewable power interface which allows solar and wind  sources to supply the load separately or simultaneously depending on the availability of the energy sources. It uses cuk and sepic converter topologies to form cuk-seic interfece. These systems  also use battery backup to store excess energy and to make best use of their operating characteristics. Performance comparison between a cuk-sepic renewable power interface with and without MPPT using MATLAB/SIMULINK is presented. A detailed componentwise analysis is also done to calculate best efficient interface. It is found that the cuk-sepic interface with MPPT is efficient. A lab level model for cuk-sepic interface is developed and tested. The experimental results proved the effective operation of a single renewable power cuk-sepic interface with MPPT. 
Volume: 10
Issue: 2
Page: 917-927
Publish at: 2019-06-01

Robot navigation in unknown environment with obstacle recognition using laser sensor

10.11591/ijece.v9i3.pp1773-1779
Neerendra Kumar , Zoltán Vámossy
Robot navigation in unknown and dynamic environments may result in aimless wandering, corner traps and repetitive path loops. To address these issues, this paper presents the solution by comparing the standard deviation of the distance ranges of the obstacles appeared in the robot navigation path. For the similar obstacles, The standard deviations of distance range vectors, obtained from the laser range finder sensor of the robot at similar pose, are very close to each other. Therefore, the measurements of odometer sensor are also combined with the standard deviation to recognize the location of the obstacles. A novel algorithm, with obstacle detection feature, is presented for robot navigation in unknown and dynamic environments. The algorithm checks the similarity of the distance range vectors of the obstacles in the path and uses this information in combination with the odometer measurements to identify the obstacles and their locations. The experimental work is carried out using Gazebo simulator.
Volume: 9
Issue: 3
Page: 1773-1779
Publish at: 2019-06-01

Dimmer and neon transformer as a power controllable generator for atmospheric pressure plasma jet

10.11591/ijpeds.v10.i2.pp594-601
Rosnah Mohd Zin , Chin Fhong Soon , Nadhia Mohd Yusof , Elfa Rizan Rizon , Kian Sek Tee , Mohd Khairul Ahmad , Nafarizal Nayan
The feasibility of a dimmer and neon transformer to provide power control to the atmospheric pressure plasma jet (APPJ) is presented in this paper. The standard neon transformer was previously shown applicable to power up a plasma torch to generate plasma irradiation of an APPJ at 8.64kv and 35kHz. However, the plasma emission is not controllable. In this study, a lamp dimmer was proposed to function as a power controller to the neon transformer which drives the generation of plasma and discharged with argon gas. With the dimmer output voltage adjustable from 60 - 220V, the power and current of the dimmer were variable from 8.4 to 83.6 W and 0.08 and 0.38 A, respectively. The temperature measured at the quartz tube and sample exposure site were less than 50oC suggested that the APPJ produced were non-thermal. A simple test by exposing plasma plume to a leaf sample showed that the plasma produced were non-damaging to the leaf. This portable system can provide control to the APPJ and applicable for bioengineering studies. 
Volume: 10
Issue: 2
Page: 594-601
Publish at: 2019-06-01

Prediction of Answer Keywords using Char-RNN

10.11591/ijece.v9i3.pp2164-2176
Pratheek I , Joy Paulose
Generating sequences of characters using a Recurrent Neural Network (RNN) is a tried and tested method for creating unique and context aware words, and is fundamental in Natural Language Processing tasks. These type of Neural Networks can also be used a question-answering system. The main drawback of most of these systems is that they work from a factoid database of information, and when queried about new and current information, the responses are usually bleak. In this paper, the author proposes a novel approach to finding answer keywords from a given body of news text or headline, based on the query that was asked, where the query would be of the nature of current affairs or recent news, with the use of Gated Recurrent Unit (GRU) variant of RNNs. Thus, this ensures that the answers provided are relevant to the content of query that was put forth.
Volume: 9
Issue: 3
Page: 2164-2176
Publish at: 2019-06-01
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