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Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

10.11591/ijeecs.v22.i3.pp1320-1326
Nastaran Reza Nazar Zadeh , Ameralden H. Abdulwakil , Mike Joshua R. Amar , Bernadette Durante , Christian Vincent Nico Reblando Santos
With the growth of technology and massive city development, firefighting services have become more challenging to cope with a smart-city concept. One of the challenges that firefighters are facing is reaching the top floors of high-raised buildings. Firefighters need heavy and oversized pieces of equipment to reach top floors, which they sometimes fail to deliver on time due to big cities' traffic. The proposed solution to this global problem is using firefighting unmanned aerial vehicle (UAV) to reach the top floors fast and efficiently; It can also provide a better vision for the firefighting team and slow down the spread of fire using fire extinguishing ball. In this paper, a noble design for a Firefighting UAV with shooting and dropping mechanism of fire extinguishing ball has been developed and successfully tested. A Camera with night vision has been integrated into the UAV to provide a helpful aid for firefighters. The UAV has a controller with a 2.4 GHz radio frequency (RF) signal and video surveillance to regulate the UAV's movement. The controller is also for activating the shooting and dropping mechanism. The researchers examined the behavior of the drone in terms of its stability and functionality.
Volume: 22
Issue: 3
Page: 1320-1326
Publish at: 2021-06-01

Atar: Attention-based LSTM for Arabizi transliteration

10.11591/ijece.v11i3.pp2327-2334
Bashar Talafha , Analle Abuammar , Mahmoud Al-Ayyoub
A non-standard romanization of Arabic script, known as Arbizi, is widely used in Arabic online and SMS/chat communities. However, since state-of-the-art tools and applications for Arabic NLP expects Arabic to be written in Arabic script, handling contents written in Arabizi requires a special attention either by building customized tools or by transliterating them into Arabic script. The latter approach is the more common one and this work presents two significant contributions in this direction. The first one is to collect and publicly release the first large-scale “Arabizi to Arabic script” parallel corpus focusing on the Jordanian dialect and consisting of more than 25 k pairs carefully created and inspected by native speakers to ensure highest quality. Second, we present Atar, an attention-based encoder-decoder model for Arabizi transliteration. Training and testing this model on our dataset yields impressive accuracy (79%) and BLEU score (88.49).
Volume: 11
Issue: 3
Page: 2327-2334
Publish at: 2021-06-01

Duty ratio control ofthree port isolated bidirectional asymmetrical triple active bridge DC-DC converter

10.11591/ijpeds.v12.i2.pp943-956
Adarsh S , Nagendrappa H
Multiport converters are used in interfacing of distributed energy sources with grid/load. Isolated converters are needed in applications where converter gain is high and there is a requirement of isolation. Dual transformer asymmetric triple active bridge offers the advantage of reduced circulating current. However, the operating range is low for variation in load and source voltage. In this paper duty ratio modulation technique is proposed to regulate the load voltage and control the power flow in both the directions. As a result of the new gating scheme, the converter switches operate with ZVS, irrespective of variations in load power and source voltage. The converter is designed to ensure high switch utilization. The control technique is validatedthrough simulation of a 1kW three port DC-DC converter. It was observerd that the load voltage was regulated for wide range of variation in load power and source port voltages. The single input dual output mode was also verified.
Volume: 12
Issue: 2
Page: 943-956
Publish at: 2021-06-01

Files cryptography based on one-time pad algorithm

10.11591/ijece.v11i3.pp2335-2342
Ahmad Mohamad Al-Smadi , Ahmad Al-Smadi , Roba Mahmoud Ali Aloglah , Nisrein Abu-darwish , Ahed Abugabah
The Vernam-cipher is known as a one-time pad of algorithm that is an unbreakable algorithm because it uses a typically random key equal to the length of data to be coded, and a component of the text is encrypted with an element of the encryption key. In this paper, we propose a novel technique to overcome the obstacles that hinder the use of the Vernam algorithm. First, the Vernam and advance encryption standard AES algorithms are used to encrypt the data as well as to hide the encryption key; Second, a password is placed on the file because of the use of the AES algorithm; thus, the protection record becomes very high. The Huffman algorithm is then used for data compression to reduce the size of the output file. A set of files are encrypted and decrypted using our methodology. The experiments demonstrate the flexibility of our method, and it’s successful without losing any information.
Volume: 11
Issue: 3
Page: 2335-2342
Publish at: 2021-06-01

Implementation of non-isolated three-port converter through augmented time response

10.11591/ijpeds.v12.i2.pp913-923
Ramya Devasahayam , Godwin Immanuel D
The work is concerning a multi-port dc-dc converter with improved time response and steady state output. Here the converter carries bare amount of switches for managing the power with mono inductance. The inductance and along with that the switched capacitance are pre owned to bring large voltage gain. This paper put forwarded an appropriate controller for the closed loop monitored high-gain converter with three ports. Higher is that the conversion rate. This converter is also a good interface between DC-source and load that aims to progressing time response with FLC and PI controller in the closed loop system. The converter with the PI controller and FLC is look over and the fast responses are compared with time domain specifications. The simulation outcome indicates that the FLC based converter brings most excellent time domain response.
Volume: 12
Issue: 2
Page: 913-923
Publish at: 2021-06-01

Hybrid feature selection method based on particle swarm optimization and adaptive local search method

10.11591/ijece.v11i3.pp2414-2422
Malek Alzaqebah , Sana Jawarneh , Rami Mustafa A. Mohammad , Mutasem K. Alsmadi , Ibrahim Al-marashdeh , Eman A. E. Ahmed , Nashat Alrefai , Fahad A. Alghamdi
Machine learning has been expansively examined with data classification as the most popularly researched subject. The accurateness of prediction is impacted by the data provided to the classification algorithm. Meanwhile, utilizing a large amount of data may incur costs especially in data collection and preprocessing. Studies on feature selection were mainly to establish techniques that can decrease the number of utilized features (attributes) in classification, also using data that generate accurate prediction is important. Hence, a particle swarm optimization (PSO) algorithm is suggested in the current article for selecting the ideal set of features. PSO algorithm showed to be superior in different domains in exploring the search space and local search algorithms are good in exploiting the search regions. Thus, we propose the hybridized PSO algorithm with an adaptive local search technique which works based on the current PSO search state and used for accepting the candidate solution. Having this combination balances the local intensification as well as the global diversification of the searching process. Hence, the suggested algorithm surpasses the original PSO algorithm and other comparable approaches, in terms of performance.
Volume: 11
Issue: 3
Page: 2414-2422
Publish at: 2021-06-01

Driving cycle based battery rating selection and range analysis in EV applications

10.11591/ijpeds.v12.i2.pp637-649
Jyothi P. Phatak , L. Venkatesha , C. S. Raviprasad
The energy consumption of electric vehicles (EVs)depends on traffic environment, terrain, resistive forces acting on vehicle, vehicle characteristics and driving habits of driver. The battery pack in EV is the main energy storage element and the energy capacity determines the range of vehicle. This paper discusses the behavior of battery when EV is subjected to different driving environments such as urban and highway. The battery rating is selected based on requirement of driving cycle. The MATLAB/Simulink model of battery energy storage system (BESS) consisting of battery, bidirectional DC/DCconverter and electric propulsion system is built. The simulation is carried out and the performance of BESS is tested for standard driving cycles which emulate actual driving situations. It has been shown that, the amount of the energy recovered by battery during deceleration depends on the amount of regenerative energy available in the driving cycle. If the battery recovers more energy during deceleration, the effective energy consumed by it reduces and the range of the vehicle increases.
Volume: 12
Issue: 2
Page: 637-649
Publish at: 2021-06-01

Torque ripple and noise control of switched reluctance motor using an adaptive fuzzy PI control with the aid of AR algorithm

10.11591/ijpeds.v12.i2.pp1239-1251
Rekha P S , Vijayakumar T.
In recent days switched reluctance motor is widely used for numerous industrial applications due to its simple structure, minimum cost and maximum efficiency. Regardless of numerous exclusive benefits of the switched reluctance motor (SRM), acoustic noise of this motor is high and it is important to accomplish more analysis on the noise lessening, which is the primary goal of this paper. The major causes of acoustic noise in a SRM are torque ripple and radial magnetic force. Since radial magnetic force is highly influential by the design of motor, torque ripple control is analysed in this article for acoustic noise control. Torque ripple control of SRM is proposed using optimization in direct torque control (DTC) method. Nowadays, optimisation plays a crucial role in motor drives for enhanced control. In this paper, artificial raindrop algorithm is proposed in DTC of SRM to minimise torque ripple. Performance of proposed ARA based DTC of four-phase 8/6 SRM is analysed using Matlab and compared with the performance of fuzzy gain scheduling PI controller based DTC.
Volume: 12
Issue: 2
Page: 1239-1251
Publish at: 2021-06-01

Energy, economic and environmental analysis of fuzzy logic controllers used in smart buildings

10.11591/ijpeds.v12.i2.pp1283-1292
Ali M Baniyounes , Yazeed Yasin Ghadi , Maryam Mahmoud Akho Zahia , Eyad Adwan , Kalid Oliemat
This article is divided into three parts: the first presents a simulation study of the effect of occupancy level on energy usage pattern of Engineering building of Applied Science Private university, Amman, Jordan. The simulation was created on simulation mechanism by means of EnergyPlus software and improved by using the building’s data such as building’s as built plan, occupant’s density level based on data about who utilize the building throughout operational hours, energy usage level, Heating Ventilating and air conditioning (HVAC) system, lighting and its control systems and etc. Data regarding occupancy density level estimation is used to provide the proposed controller with random number of users grounded on report were arranged by the university’s facilities operational team. The other division of this paper shows the estimated saved energy by the means of suggested advanced add-on, FUZZY-PID controlling system. The energy savings were divided into summer savings and winter savings. The third division presents economic and environmental analysis of the proposed advanced fuzzy logic controllers of smart buildings in Subtropical Jordan. The economic parameters that were used to evaluate the system economy performance are life-cycle analysis, present worth factor and system payback period. The system economic analysis was done using MATLAB software
Volume: 12
Issue: 2
Page: 1283-1292
Publish at: 2021-06-01

Reviewing the Van Hiele model and the application of metacognition on geometric thinking

10.11591/ijere.v10i2.21185
Muhammad Ammar Naufal , Abdul Halim Abdullah , Sharifah Osman , Mohd Salleh Abu , Hisyam Ihsan , Rondiyah Rondiyah
Metacognition, or the ability to think about thinking, is essential in the development of geometric thinking. However, studies on the Van Hiele model and the application of metacognition on geometric thinking are still under-researched. This study aimed to provide a review of the Van Hiele model and the application of metacognition on geometric thinking. A total of 844 articles were retrieved through internet search engines from 1995 to 2020 and manually selected and reviewed systematically. The keywords used related to the Van Hiele model, metacognition, and geometric thinking. The findings that emerged from the review were categorized into two main themes which were the effectiveness of the Van Hiele model towards geometric thinking and the effectiveness of the application of metacognition on geometric thinking. Most articles revealed the positive indication of the geometric thinking development through the Van Hiele model intervention. It also seems that the potential of the application of metacognition in the Van Hiele model can strengthen geometric thinking development. Researchers and educators may find this knowledge useful in conducting empirical studies and developing learning instructions based on the application of metacognition in the development of geometric thinking.
Volume: 10
Issue: 2
Page: 597-605
Publish at: 2021-06-01

Real-time RSS-based positioning system using neural network algorithm

10.11591/ijeecs.v22.i3.pp1601-1610
Safae El Abkari , Jamal El Mhamdi , El Hassan El Abkari
Locating services have come under the spotlight in recent years in various applications. However, locating methods that use received signal strength have low accuracy due to signal fluctuations. For this purpose, we present a Wi-Fi based locating system using artificial neural network to enhance the positioning process performances. We optimized the Levenberg Marquardt algorithm to propose the better configuration of the multi-layer time-delay perception neural network. We achieved an average error of 10.3 centimeters with a grid of 0.4 meter in four tests. Yet, due to the instability of the received signal strength RSS-based locating systems present a limitation in the resolution finesse that depends on the grid size.
Volume: 22
Issue: 3
Page: 1601-1610
Publish at: 2021-06-01

Intelligent machine for sorting semi-precious minerals

10.11591/ijeecs.v22.i3.pp1354-1364
Mikhail Polishchuk , Mikhail Tkach , Igor Parkhomey , Juliy Boiko , Yevhenii Batrak , Oleksander Eromenko
This paper proposes is devoted to solving the problem of sorting workpieces from minerals and semi-precious stones that are used in jewelry production. Intensive development of production leads to a reduction of natural resources, including semi-precious minerals. Therefore, the task of saving the use of minerals is relevant. The solution is based on the idea a new method for sorting semi-precious minerals is proposed, as well as the design of an intelligent installation for implementing this method. An increase in the accuracy of sorting semiprecious minerals has been achieved through the use of charge-coupled device (CCD) matrices, which automatically determine the volume of each mineral in 3D space. From the simulation work, it was found in comparison with manual sorting, the proposed method has reduced the amount of waste in the manufacture of jewelry by 15% ... 20%. Experimental studies were carried out using the example of such a semiprecious mineral as amber. The cost of raw amber in the amount of one kilogram on the modern market is in the range of 1200…2200 US dollars. The result confirms that the method is superior to the alternative method, with the achieved average waste saving of 20%, the proposed sorting technology makes it possible to obtain a profit of 240...440 US dollars per kilogram of amber. Ultimately, these solutions can improve the efficiency of jewelry production.
Volume: 22
Issue: 3
Page: 1354-1364
Publish at: 2021-06-01

Experimental investigation of the performance of a solar dryer integrated with solid desiccant coloums using water based solar collector for medicinal herb

10.11591/ijpeds.v12.i2.pp1024-1033
M. Yahya , R. Hasibuan , R. Sundari , K. Sopian
This study is concerned with the analyses of performance on a solar dryer integrated with solid desiccant coloums using water based solar collector. The dryer consists of a solar water collector, two solid desiccant coloums, a water storage tank, two heat exchangers, an air heater, and a drying chamber. The dryer decreased the Centella asiatica L moisture content from 88.3% (wb) to 15.9% (wb) within 12 hours, with an average temperature and relative humidity of 45.4°C and 25.8%, respectively. The rate of moisture evaporation and the specific moisture evaporation rate were in the range of 0.001-1.762kg/h and 0.02-0.482 kg/kWh, with 0.594kg/h and 0.169kg/kWh in average values, respectively. The dryer efficiency was in the range of 0.62%-30.4%, with 15.4% in average value. The energy required for moisture evaporation and total energy input to the dryer were in the range of 26.9-1132.2W and 3638.0-4329.7W, with 601.8 W and 3967.4 W in average values, respectively. The efficiency of collector and the heat exchanger effectiveness were in the range of 38.1-50.5% and 65.1-79.7%, with 45.0% and 73.0% in average values, respectively. The result shows that the dryer is suitable for drying Centella asiatica L, this is due to the low temperature of drying air and high moisture evaporation rate.
Volume: 12
Issue: 2
Page: 1024-1033
Publish at: 2021-06-01

Bleeding recognition technique in wireless capsule endoscopy images using fuzzy logic and principal component analysis

10.11591/ijece.v11i3.pp2688-2695
A. Al Mamun , P. P. Em , T. Ghosh , M. M. Hossain , M. G. Hasan , M. G. Sadeque
Wireless capsule endoscopy is the most innovative technology to perceive the entire gastrointestinal (GI) tract in recent times. It can diagnose inner diseases like bleeding, ulcer, tumor, Crohn's disease, and polyps. in a discretion way. It creates immense pressure and onus for clinicians to perceive a huge number of image frames, which is time-consuming and makes human oversight errors. Therefore a computer-automated system has been introduced for bleeding detection. A unique fuzzy logic technique is proposed to extract the specified bleeding and non-bleeding information from the image data. A particular quadratic support vector machine (QSVM) classifier is employed to classify the obtained statistical features from the bleeding and non-bleeding images incorporating principal component analysis (PCA). After extensive experiments on clinical data, 98% sensitivity, 98.4% accuracy, 98% specificity, 93% precision, 95.4% F1-score, and 99% negative predicted value have been achieved, which outperforms some of the states of art methods in this regard. It is optimistic that the proposed methodology would significantly contribute to bleeding detection techniques and diminish the additional onus of the physicians.
Volume: 11
Issue: 3
Page: 2688-2695
Publish at: 2021-06-01

The permissive non-parental childcare and moral intelligence: Indonesian setting

10.11591/ijere.v10i2.21032
Falakhul Auliya , Yuli Kurniawati Sugiyo Pranoto , Sunawan Sunawan , Ali Sunarso
Most parents in Indonesia are unable to provide maximum care for their children while working. Childcare includes fostering moral intelligence, which is carried out by grandmothers, household assistants, and daycare assistants. Furthermore, 178 young children (95 males and 83 females) and 178 caregivers (68 grandmothers, 54 household assistants, and 56 daycare assistants) were involved in the study. Simple regression analysis was used to examine parenthood on moral intelligence, and moderator analysis was used to test permissive non-parental childcare and moral intelligence in early childhood. The results showed that authoritative and permissive parenthood has an effect on moral intelligence and that the effects of permissiveness on moral intelligence are only moderately influenced. Permissive non-parental childcare and moral intelligence apply to the group of grandmothers and household assistants. The research provides a detailed description of the role of predictors on moral intelligence in non-parental care.
Volume: 10
Issue: 2
Page: 569-575
Publish at: 2021-06-01
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