Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,939 Article Results

High performance of solar panel based on new cooling and cleaning technique

10.11591/ijeecs.v24.i2.pp803-814
Ahmed Khudhair Abbas , Kaleid Waleed Abed , Osama Ibrahim Abd , Yousif Al Mashhadany , Abdulrahman Hammad Jasim
There is a requirement for an elective wellspring of inexhaustible and earth feasible electrical vitality because of expanded power use and an unnatural weather change issues the world over. With the accumulation of dust and the surface temperature of cells or sun-based boards increase, their productivity drops significantly. Cooling and cleaning by using water can be utilized. Proteus and MikroC software have been used to simulate the model and write the code. In this paper, is design and an experimental study shrewd customized cleaning and cooling system for photo-voltaic (PV) modules installed in Ramadi, Iraq. Which is started dependent on low essentialness coming about due to dust accumulating and high temperature conditions. This was attempted by presenting two indistinct photovoltaic modules close to one another. The fundamental unit was equipped with a model of the cleaning structure while the resulting unit was seen as standard. An upgraded cleaning and cooling methodology are gotten with the data acquiring structure. An expansion in vitality profitability of 12.4% was acquired because of lessening the operational aggravations of residue amassing and warming of the board surface. The automatic cleaning mechanism used in the system reduces human stress by washing the PV panel with low energy use.
Volume: 24
Issue: 2
Page: 803-814
Publish at: 2021-11-01

High impedance fault detection in 11 kV overhead line with discrete wavelet transform and independent component analysis

10.11591/ijeecs.v24.i2.pp661-672
Md Ferdouse Hossain Bhuiya , Rohaiza Hamdan , Dur Mohammad Soomro , Abdelrehman Omer Idris , Hussain Sharif
This paper proposes an analysis of high-impedance fault detection algorithms for medium voltage distribution lines based on the discrete wavelet transform (DWT) technique and a more advanced technique named independent component analysis (ICA) independently. Three-phase distribution line model and two diodes high impedance fault model, which represents the unsymmetrical fault current of electric arc, simulated using MATLAB/Simulink. High impedance fault (HIF) detection algorithm initially analyzes the sampled current waveforms through DWT and the resultant third level high-frequency components “d3” coefficients are analyzed through one cycle moving window approach. The proposed algorithm successfully detects any HIF in the distribution current even if there is a slight or no difference in the amplitude of the HIF and the waveform of the phase current. On the other hand, the ICA more developed algorithm than DWT successfully separated the noise signals from the obtained current waveforms and HIF noise signals can be differentiated with non-HIF noise signals. Because of this reason ICA is chosen in this research. The detected HIF current can be from 50 ma and up.
Volume: 24
Issue: 2
Page: 661-672
Publish at: 2021-11-01

Morphological characteristics of X-ray thorax images of COVID-19 patients using the Bradley thresholding segmentation

10.11591/ijeecs.v24.i2.pp1074-1083
Retno Supriyanti , Muhammad Alqaaf , Yogi Ramadhani , Haris B. Widodo
The coronavirus disease 2019 (COVID-19) pandemic has made test screening much needed. Currently, the most commonly used is the swab type. Although in fact, there is also a screening method with chest radiology. The purpose of this study is to develop a COVID-19 early detection system based on X-ray images of the patient's thorax in the form of a computer-aided diagnosis. This case is based on the fact that X-ray modalities are available in several health care centers in Indonesia, compared to other modalities such as computed tomography (CT) scan or magnetic resonance imaging (MRI). In this paper, we emphasize the X-ray thorax image segmentation process to explore the morphological information of the thorax. We use the Bradley thresholding segmentation method. The results obtained are promising to be further developed with a performance percentage of 73.33% for the thorax for COVID-19 patients and 54% for the thorax for normal patients.
Volume: 24
Issue: 2
Page: 1074-1083
Publish at: 2021-11-01

Proposed emerged and enhanced routing protocols for wireless networks

10.11591/ijeecs.v24.i2.pp871-879
Dheyaa Jasim Kadhim , Ali Abdulwahhab Mohammed
The problem motivation of this work deals with how to control the network overhead and reduce the network latency that may cause many unwanted loops resulting from using standard routing. This work proposes three different wireless routing protocols which they are originally using some advantages for famous wireless ad-hoc routing protocols such as dynamic source routing (DSR), optimized link state routing (OLSR), destination sequenced distance vector (DSDV) and zone routing protocol (ZRP). The first proposed routing protocol is presented an enhanced destination sequenced distance vector (E-DSDV) routing protocol, while the second proposed routing protocol is designed based on using the advantages of DSDV and ZRP and we named it as DS-ZRP routing protocol. The third proposed routing protocol is designed based on using the advantaged of multipoint relays in OSLR protocol with the advantages of route cashing in DSR protocol, and we named it as OLS-DSR routing protocol. Then, some experimental tests are doing by demonstration case studies and the experimental results proved that our proposed routing protocols outperformed than current wireless routing protocols in terms of important network performance metrics such as periodical broadcast, network control overhead, bandwidth overhead, energy consumed and latency.
Volume: 24
Issue: 2
Page: 871-879
Publish at: 2021-11-01

Guidance system based on Dijkstra-ant colony algorithm with binary search tree for indoor parking system

10.11591/ijeecs.v24.i2.pp1173-1182
K. Ibrahim Ata , A. Che Soh , A. J. Ishak , H. Jaafar
A common algorithm to solve the single-source shortest path (SSSP) is the Dijkstra algorithm. However, the traditional Dijkstra’s is not accurate and need more time to perform the path in order it should visit all the nodes in the graph. In this paper, the Dijkstra-ant colony algorithm (ACO) with binary search tree (BST) has been proposed. Dijkstra and ACO are integrated to produce the smart guidance algorithm for the indoor parking system. Dijkstra algorithm initials the paths to finding the shortest path while ACO optimizes the paths. BST has been used to store the paths that Dijkstra algorithm initialled. The proposed algorithm is aimed to control the shortest path as well as guide the driver towards the nearest vacant available space near the entrance. This solution depending on applying the optimization on an optimal path while the traditional ACO is optimizing the random path based on the greedy algorithm hence we get the most optimal path. Moreover, the reason behind using the BST is to make the generation of the path by Dijkstra’s algorithm more accurate and less time performance. The results show a range of 8.3% to 26.8% improvement in the proposed path compared to the traditional Dijkstra’s algorithm.
Volume: 24
Issue: 2
Page: 1173-1182
Publish at: 2021-11-01

Self embedding digital watermark using hybrid method against compression attack

10.11591/ijeecs.v24.i2.pp864-870
Nasr Eddine Touati , Abdelmounaim Moulay Lakhdar
In the modern time interacting with digital world become standard life activity, human need a way to protect properties as individuals or corporals, and we do that by embedding a digital mark to the target, and this technique call digital watermarking. But there still is a chance to manipulate or even remove this marks we embed for protection with various attacks like adding noises, compression-decompression or bits manipulations, and that why companions, individuals, laboratories are still developing new methods to embed this marks and make them more robust and more hard to detect for others. There are so many methods for digital watermarking, so we chose the least significant bits watermarking (LSB-watermarking) to provide an invisible digital watermarking, and on top of that we proceed with the blind LSB-watermarking method so that we don't get bind to the original image, and for our attack we chose compression joint photographic experts group (JPEG) compression because it’s the most used method for image and videos compression along with singular value decomposition (SVD) to make our mark as robust as possible. And the results we gain from our method are promising and it did give as high quality digital watermarking.
Volume: 24
Issue: 2
Page: 864-870
Publish at: 2021-11-01

A series-connected switched source and an H-bridge based multilevel inverter

10.11591/ijeecs.v24.i2.pp673-679
Siva Pachipala , Amarsrinadh Guda , Mentimi Sandeep Babu , Veeranarayana B. , K. V. S. Ramachandra Murthy , Abhilash Tirupathi
An inverter circuit is promoted in this paper, using series-connected switched dc sources along with an H-bridge circuit with optimized circuit elements like switching devices and diode clamped (DC) sources. This configuration uses DC supplies that can be strung together in series to create a significant voltage level. This topology consists of two parts, namely: 1) level production part and 2) polarity production part. The combination of some of the dc sources and switching devices completes the level production part. The H-bridge in the presented structure produces the polarity generation part. The DC-link capacitors are not needed in this design. There is a full presentation of the operating modes and modeling process of the proposed converter. Finally, in the MATLAB/SIMULINK setting the proposed topology is simulated and output current and voltage results have been examined.
Volume: 24
Issue: 2
Page: 673-679
Publish at: 2021-11-01

Combining serial and parallel decoding for turbo codes

10.11591/ijeecs.v24.i2.pp896-903
Mohammed AlMahamdy , Naser Al-Falahy
Reducing the decoding latency of the turbo codes is important to real-time applications. Conventionally, the decoding of the turbo codes (TC) runs in serial fashion, which means only one of the constituent soft decoders runs at a time. Parallel decoding (PD) refers to running the soft decoders in parallel. Although it delivers the output faster (compared to the serial decoding (SD)), it affects the bit- and frame-error rates. This paper proposes a decoding procedure that combines both PD and SD. It bridges the two decoding modes to determine the best combination scheme to achieve the required level of performance at an acceptable decoding latency. Presented results show how this procedure can mitigate the performance degradation at a slight increase in the decoding latency.
Volume: 24
Issue: 2
Page: 896-903
Publish at: 2021-11-01

Analysis of gallium nitride-based optical microring resonator with doped polymer grafting material

10.11591/ijeecs.v24.i2.pp736-743
Hazura Haroon , Muhammad Syafiq Ramli , Siti Khadijah Idris , Anis Suhaila Mohd Zain , Hanim Abdul Razak , Thanigai Anbalagan
In this paper, the Gallium nitride-based optical microring resonator (OMR) filter with polymer grafting material (PMMA) coating was designed and optimized to predict its potential as a wavelength filtering device. The optimization was focused on the design parameters such as polymer thickness, gap separation variation, and the bus and ring waveguide widths. The target is to achieve the best output in terms of insertion loss (IL) and Extinction Ratio for wavelength-division multiplexing (WDM) applications, specifically for the use of the C-Band network. Upon completion, it was found that the optimized design was a ring radius of 10 μm and PMMA thickness of 0.055 μm, with the bus waveguide width of 800 nm and the output bus waveguide of 800 nm giving the observed IL of 0.07 dB and 87.3% extinction rate.
Volume: 24
Issue: 2
Page: 736-743
Publish at: 2021-11-01

Electricity consumption forecasting using DFT decomposition based hybrid ARIMA-DLSTM model

10.11591/ijeecs.v24.i2.pp1107-1120
Osman Yakubu , Narendra Babu C.
Forecasting electricity consumption is vital, it guides policy makers and electricity distribution companies in formulating policies to manage production and curb pilfering. Accurately forecasting electricity consumption is a challenging task. Relying on a single model to forecast electricity consumption data which comprises both linear and nonlinear components produces inaccurate results. In this paper, a hybrid model using autoregressive integrated moving average (ARIMA) and deep long short-term memory (DLSTM) model based on discrete fourier transform (DFT) decomposition is presented. Aided by its superior decomposition capability, filtering using DFT can efficiently decompose the data into linear and nonlinear components. ARIMA is employed to model the linear component, while DLSTM is applied on the nonlinear component; the two predictions are then combined to obtain the final predicted consumption. The proposed techniques are applied on the household electricity consumption data of France to obtain forecasts for one day, one week and ten days ahead consumption. The results reveal that the proposed model outperforms other benchmark models considered in this investigation as it attained lower error values. The proposed model could accurately decompose time series data without exhibiting a performance degradation, thereby enhancing prediction accuracy.
Volume: 24
Issue: 2
Page: 1107-1120
Publish at: 2021-11-01

IFSG: Intelligence agriculture crop-pest detection system using IoT automation system

10.11591/ijeecs.v24.i2.pp1091-1099
Imrus Salehin , S. M. Noman , Baki Ul-Islam , Israt Jahan Lopa , Prodipto Bishnu Angon , Ummya Habiba , Nazmun Nessa Moon
The agricultural and technological combination is blessed for modern world life. Internet of things (IoT) is essential for comfort and development to our agriculture side. In our study, we detected the various pest using different types of sensors and this information has automatically sent to the farmer's mobile for the alert. All these sensors had a central database. Those sensors collect all the data and display the results compared to the central data. The High-image sensor will be able to detect all the rays emitted from the plant and another one is the gas sensor which is able to detect all the gases coming from the diseased plant. We mainly use sound sensor, MQ138, CMOSOV-7670, AMG-8833 for a better automation system. We test it with real-time environment conditions (40°C≤TA≤14°C). Crop pest detection automatic process is more efficient than the other detection process according to testing output. As a result, far-reaching changes in the agricultural sector are possible. To reduce extra cost and increasing more farming ability we need to IoT and Agriculture combinations more.
Volume: 24
Issue: 2
Page: 1091-1099
Publish at: 2021-11-01

Factors impacting Jordanian women in computing case study: Hashemite University

10.11591/ijeecs.v24.i2.pp1130-1140
Ebaa Fayyoumi , Sahar Idwan
We consider pursuing the Jordanian women their graduate studies in Information Technology disciplines as an indicator of socio-economic development and empowering women in Jordan. This paper presents the first study of multi-variate stereotypes that shape the problem by addressing the following factors: travel abroad, family matters, skills and experience, traditional and cultural differences, scholarship opportunities, financial matters, and language complications. These factors were extensively studied, and their effects were estimated by applying the linear-regression, one-way ANOVA, and Scheffe tests. The scholarship opportunity (R2 = 0:354), travel abroad (R2 = 0:281), and financial matters (R2 = 0:226) were the most influential factors on Jordanian women’s decision in pursuing their graduate studies. On the other hand, skills and experience stereotype (R2 = 0:076) has the least influence.
Volume: 24
Issue: 2
Page: 1130-1140
Publish at: 2021-11-01

Design a multi-motion bed to help the Elderly people and sick

10.11591/ijeecs.v24.i2.pp789-793
Nisreen Kareem Ali , Mustafa Yaseen Abdulateef , Mohammed Hasan Ali
Most mishaps happening at clinical foundations treating older patients with portability hindrance are bedsores and slip-and-fall accidents. One reason for this high pace of mishaps is the absence of nursing faculty. So as to help parental figures in nursing old patients who are unable to move freely, we offer an arrangement and implementation of a wise bed in this work. This is the bed. Under the sheet material spread, a couple of weight sensors are passed to consider the two social orders' regular actual characteristics as well as the specific body portions where bedsores commonly arise. The body zone is divided into three vertical territories and three level zones to cope with the weight ulcer territory and prevent falls. Each microcontroller unit is in charge of monitoring pressure-differentiating data in one of the bodily regions separated on a level plane. In this review, a consistent weight distinguishing figure is offered that is useful for predicting the anticipated outcomes of bedsores and falling setbacks by taking into account both the strength and the length of weight of unambiguous body parts. Our preliminary findings reveal that a model magnificent bed serves a pair of human models of varied heights and burdens admirably.
Volume: 24
Issue: 2
Page: 789-793
Publish at: 2021-11-01

A semantic web services discovery approach integrating multiple similarity measures and k-means clustering

10.11591/ijeecs.v24.i2.pp1228-1237
Mourad Fariss , Naoufal El Allali , Hakima Asaidi , Mohamed Bellouki
Web service (WS) discovery is an essential task for implementing complex applications in a service oriented architecture (SOA), such as selecting, composing, and providing services. This task is limited semantically in the incorporation of the customer’s request and the web services. Furthermore, applying suitable similarity methods for the increasing number of WSs is more relevant for efficient web service discovery. To overcome these limitations, we propose a new approach for web service discovery integrating multiple similarity measures and k-means clustering. The approach enables more accurate services appropriate to the customer's request by calculating different similarity scores between the customer's request and the web services. The global semantic similarity is determined by applying k-means clustering using the obtained similarity scores. The experimental results demonstrated that the proposed semantic web service discovery approach outperforms the state-of-the approaches in terms of precision (98%), recall (95%), and F-measure (96%). The proposed approach is efficiently designed to support and facilitate the selection and composition of web services phases in complex applications.
Volume: 24
Issue: 2
Page: 1228-1237
Publish at: 2021-11-01

An ear recognition system based on local wavelet subband energy distribution

10.11591/ijeecs.v24.i2.pp1212-1219
Ruaa Isam Fadhil , Loay E. George
The outer ear features have been used for many years in forensic science of recognition. Human ear is a valuable information provenance of data for individual identification/authentication. Ear meets biometric characteristic (universality, distinctiveness, permanence and collectability). Biometric system depending on ear image facing two major challenges; the first one is the localization of human ear area in given profile face image, and the second one is the selection of proper features to distinguish between individuals. In this work, we propose an alogorithm for ear recognition based on the local spatial energy distribution of wavelet sub-bands, because of wavelet transform has the ability to analyze the local feature of 2-D image by determining where the low frequency and high frequency areas are and it provides full description of the spatial distribution of the ear image. Nearest classifier are used to make a recognition decision in matching stage. The system was tested over a public database consist of 493 images. The attained recognition rate was (95.28%) and the achieved minimum equal error rate (EER) is 0.02%.
Volume: 24
Issue: 2
Page: 1212-1219
Publish at: 2021-11-01
1 2 3
...
1995 1996
Show 898 of 1996

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration