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31,456 Article Results

Performance analysis of bio-signal processing in ocean environment using soft computing techniques

10.11591/ijece.v10i3.pp2944-2950
N. R. Krishnamoorthy , Immanuel Rajkumar , Jerry Alexander , D. Marshiana
Wireless communication has become an essential technology in our day-to-day life both in air and water medium. To monitor the health parameter of human begins, advancement techniques like internet of things is evolved. But to analyze underwater living organisms health parameters, researchers finding difficulties to do so. The reason behind is underwater channels has drawbacks like signal degradation due to multipath propagation, severe ambient noise and Attenuation by bottom and surface loss. In this paper Artificial Neural Networks (ANN) is used to perform data transfer in water medium. A sample EEG signal is generated and trained with 2 and 20 hidden layers. Simulation result showed that error free communication is achieved with 20 hidden layers at 10th iteration. The proposed algorithm is validated using a real time watermark toolbox. Two different modulation scheme was applied along with ANN. In the first scenario, the EEG signal is modulated using convolution code and decoded by Viterbi Algorithm. Multiplexing technique is applied in the second scenario. It is observed that energy level in the order of 40 dB is required for least error rate. It is also evident from simulation result that maximum of 5% CP can be maintained to attain the least Mean Square Error.
Volume: 10
Issue: 3
Page: 2944-2950
Publish at: 2020-06-01

Super-twisting sliding mode controllers based on D-PSO optimization for temperature control of an induction cooking system

10.11591/ijpeds.v11.i2.pp1055-1064
Abdeldjalil Abdelkader Mekki , Abdelkader Kansab , Mohamed Matallah , Zinelaabidine Boudjema , Mouloud Feliachi
In this study, we perform the control of the temperature evolution versus time of induction cooking system using a super twisting sliding mode control (STSMC) based on Dynamic Particle Swarm Optimization (D-PSO). First, we will determine the evolution of the temperature in the middle of the pan bottom using the FEM method. The found temperature exceeds the limit of the desired cooking temperature (150-200°C). Second, to limit temperature increase, a (ST-SMC) method combined with a (D-PSO) algorithm is used to get the desired temperature. Particles Swarm Optimization (D-PSO) method is used to optimize the parameters of the gain of (ST-SMC) and improve its performance. The simulation results show that the use of the optimized super twisting sliding mode controller helps to achieve a desired value of cooking.
Volume: 11
Issue: 2
Page: 1055-1064
Publish at: 2020-06-01

Adherence to Islamic principles of success and academic achievement

10.11591/ijere.v9i2.20473
Zuwaira Abubakar , Isa Muhammad Maishanu
This study was conducted in order to investigate the possible relationship between adherence to Islamic principles of success and academic performance of university students. Accordingly, a questionnaire based on Islamized principles of success (referred to as “Islamic character quotient inventory (ICQi)”) was correlated with CGPA (Cumulative Grade Point Averages) of 343 students of Usmanu Danfodiyo University, Sokoto. The empirical testing indicates that the total score on ICQi correlated positively and significantly with the academic performance of the respondent. Students with either high or medium adherence to ICQi have a significantly higher CGPA than their counterparts with the low-adherence level. However, the result did not show a significant relationship between the CGPA of highly adherent individuals and that of those with medium adherence level. The findings of this research may suggest that Islamic principles are not confined to the spiritual aspect of human’s life, but also relevant and useful for our mundane affairs.
Volume: 9
Issue: 2
Page: 401-406
Publish at: 2020-06-01

Active cell balancing for electric vehicle battery management system

10.11591/ijpeds.v11.i2.pp571-579
Thiruvonasundari Duraisamy , Deepa kaliyaperumal
The shrink in accessibility of petroleum products and increment in asset request are eventual outcomes for Electrical Vehicles (EVs). The battery has an impact on the performance of electrical vehicles, the driving range. Lithium ion (Li-ion) chemistry is extremely sensitive to overcharge and deep discharge, which can harm the battery, shortening its period of time, and even inflicting risky things. The Battery Management System (BMS) comprises of the consequent parts: management, equalization and protection. Of the three components, equalization is that the most crucial with respect to the durability of the battery framework. The ability of the full pack diminishes rapidly amid the procedure which leads to degradation of the full battery framework. This condition is extreme once the battery incorporates a more number of cells in series and frequent charging is conveyed through the battery string. The cell imbalance during charging, discharging is a major issue in battery systems used in EVs. To circumvent the cell imbalance, cell balancing is used. Cell balancing enhances battery safety and extends battery life. This paper discusses about different active balancing method to increase the life span of the battery module. Based on the comparison, the inductor based balancing method for 60V battery system is implemented in the MATLAB/Simscape environment and the results are discussed.
Volume: 11
Issue: 2
Page: 571-579
Publish at: 2020-06-01

Hybrid energy storage system optimal sizing for urban electrical bus regarding battery thermal behavior

10.11591/ijece.v10i3.pp2894-2911
Si Mohamed Faresse , Mohamed Assini , Abdallah Saad
This paper proposes an algorithm for sizing the hybrid energy storage system of an urban electrical bus regarding battery thermal behavior. The aim of this study is to get the supercapacitors optimal contribution part in the hybrid energy storage system to keep the battery temperature within its allowable limit. A semi-active parallel topology that uses supercapacitors as a main source of energy is considered. According to the bus mechanical parameters and the ARTEMIS driving cycle, the power and energy demand are calculated. Using mathematical models for the battery, supercapacitors and DC-DC converter, several simulations are performed for different hybridization percentages. While observing the evolution of battery temperature, the most favorable hybridization percentage is defined.
Volume: 10
Issue: 3
Page: 2894-2911
Publish at: 2020-06-01

Sentiment analysis of informal Malay tweets with deep learning

10.11591/ijai.v9.i2.pp212-220
Ong Jun Ying , Muhammad Mun'im Ahmad Zabidi , Norhafizah Ramli , Usman Ullah Sheikh
Twitter is an online microblogging and social-networking platform which allows users to write short messages called tweets. It has over 330 million registered users generating nearly 250 million tweets per day. As Malay is the national language in Malaysia, there is a significant number of users tweeting in Malay. Tweets have a maximum length of 140 characters which forces users to stay focused on the message they wish to disseminate. This characteristic makes tweets an interesting subject for sentiment analysis. Sentiment analysis is a natural language processing (NLP) task of classifying whether a tweet has a positive or negative sentiment. Tweets in Malay are chosen in this study as limited research has been done on this language. In this work, sentiment analysis applied to Malay tweets using the deep learning model. We achieved 77.59% accuracy which exceeds similar work done on Bahasa Indonesia.
Volume: 9
Issue: 2
Page: 212-220
Publish at: 2020-06-01

Image processing and machine learning techniques used in computer-aided detection system for mammogram screening - a review

10.11591/ijece.v10i3.pp2336-2348
Susama Bagchi , Kim Gaik Tay , Audrey Huong , Sanjoy Kumar Debnath
This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and it can be controlled only by early detection with regular screening. Till now mammography is the widely used breast imaging modality. CAD systems have been adopted by the radiologists to increase the accuracy of the breast cancer diagnosis by avoiding human errors and experience related issues. This study reveals that in spite of the higher accuracy obtained by the earlier proposed CAD systems for breast cancer diagnosis, they are not fully automated. Moreover, the false-positive mammogram screening cases are high in number and over-diagnosis of breast cancer exposes a patient towards harmful overtreatment for which a huge amount of money is being wasted. In addition, it is also reported that the mammogram screening result with and without CAD systems does not have noticeable difference, whereas the undetected cancer cases by CAD system are increasing. Thus, future research is required to improve the performance of CAD system for mammogram screening and make it completely automated.
Volume: 10
Issue: 3
Page: 2336-2348
Publish at: 2020-06-01

Hybrid multiple watermarking technique for securing medical images of modalities MRI, CT scan, and X-ray

10.11591/ijece.v10i3.pp2349-2356
Imane Assini , Abdelmajid Badri , Aicha Sahel , Abdennaceur Baghdad
In order to contribute to the security of sharing and transferring medical images, we had presented a multiple watermarking technique for multiple protections; it was based on the combination of three transformations: the discrete wavelet transform (DWT), the fast Walsh-Hadamard transform (FWHT) and, the singular value decomposition (SVD). In this paper, three watermark images of sizes 512x 512 were inserted into a single medical image of various modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and X-Radiation (X-ray). After applying DWT up to the third level on the original image, the high-resolution sub-bands were being selected subsequently to apply FWHT and then SVD. The singular values of the three watermark images were inserted into the singular values of the cover medical image. The experimental results showed the effectiveness of the proposed method in terms of quality and robustness compared to other reported techniques cited in the literature.
Volume: 10
Issue: 3
Page: 2349-2356
Publish at: 2020-06-01

A novel fast MPPT strategy used for grid-connected residential PV system applied in morocco

10.11591/ijpeds.v11.i2.pp942-952
Sana Sahbani , Hassane Mahmoudi , Abdennebi Hasnaoui , Mustapha Kchikach , Hanane Benchraa
Regardless its significant potential for generating renewable energy, Moroccan government prohibited the injection of production surplus into the low voltage (LV) network because it still lack the implementing decreases, that represents one of the principal challenges for residential self-production in the country. The focus of this paper work is to introduce and analyze a novel fast MPPT strategy applied in an improved grid-connected Residential PV system respecting the current legislative framework in Morocco, which allow to the consumer being an actor in the energy transition towards a low-carbon society by reducing his dependence to the electrical grid and managing his own energy consumption efficiently by a good switching between photovoltaic (PV) source and the grid and therefore making a framework of smart residence management system. The overall system is designed to improve the energy control performance with two techniques: the first one uses a novel high performance controller to track the maximum power point (MPP) of a photovoltaic array under fast irradiation and load changes. Among the advantages of this proposed controller is the stability of its output voltage with fast response speed to the required parameters. The second one uses a Power Factor Correction (PFC) circuit to ensure the power quality regulation in the grid side via a predictive current control method. Finally, the stability of a closed-loop system is simulated and analyzed using commercial software offering sufficient conditions to validate a practical stability and robustness of the proposed overall designed system.
Volume: 11
Issue: 2
Page: 942-952
Publish at: 2020-06-01

Improving color rendering index of WLEDs with convex-dual-layer remote phosphor geometry using red-emitting CaGa2S4:Mn2+ phosphor

10.12928/telkomnika.v18i5.14250
Nguyen Thi Phuong; Posts and Telecommunications Institute of Technology Loan , Anh Tuan; Ton Duc Thang University Le
The white-light light-emitting diode (LED), a conventional illumination solution, usually consists of one chip and one phosphor layer, which leads to the insufficient color rendering index (CRI) in this configuration. To optimize the efficiency of WLED, a new LED package with 2 chips and one phosphor was proposed, this innovative configuration can yield more lights and achieve high CRI. Thus, this study aims at perfecting the color performance with the two chips and dual phosphor layers package with the proportions and densities of phosphor in the silicone constantly changed to find the best option. The white-light LED module is adjusted using a specialized color design model. The comparison results between the measured and the simulation from the color design model CIE 1931 color coordinates suggest that the highest discrepancy is about 0.0063 and is achieved at around 5600K correlated color temperature (CCT). This study’s results lay a firm path in customizing white-light LED modules that guarantee CRI and lumen output qualities.
Volume: 18
Issue: 5
Page: 2702-2707
Publish at: 2020-05-14

Comparison of feature extraction and normalization methods for speaker recognition using grid-audiovisual database

10.11591/ijeecs.v18.i2.pp782-789
Musab T. S. Al-Kaltakchi , Haithem Abd Al-Raheem Taha , Mohanad Abd Shehab , Mohamed A.M. Abdullah
In this paper, different feature extraction and feature normalization methods are investigated for speaker recognition. With a view to give a good representation of acoustic speech signals, Power Normalized Cepstral Coefficients (PNCCs) and Mel Frequency Cepstral Coefficients (MFCCs) are employed for feature extraction. Then, to mitigate the effect of linear channel, Cepstral Mean-Variance Normalization (CMVN) and feature warping are utilized. The current paper investigates Text-independent speaker identification system by using 16 coefficients from both the MFCCs and PNCCs features. Eight different speakers are selected from the GRID-Audiovisual database with two females and six males. The speakers are modeled using the coupling between the Universal Background Model and Gaussian Mixture Models (GMM-UBM) in order to get a fast scoring technique and better performance. The system shows 100% in terms of speaker identification accuracy. The results illustrated that PNCCs features have better performance compared to the MFCCs features to identify females compared to male speakers. Furthermore, feature wrapping reported better performance compared to the CMVN method. 
Volume: 18
Issue: 2
Page: 782-789
Publish at: 2020-05-01

An Algorithm to construct nondominated k-coteries

10.11591/ijeecs.v18.i2.pp953-960
Rikip Ginanjar , Nur Hadisukmana
One of the solution in solving k mutual exclusion problem is the concept of k-coterie. A k-coterie under a set S is a set of subsets of S or quorums such that any k + 1 quorums, there are at least two quorums intersect each other. The k mutual exclusion problern is the problem of managing processes in such a way that at most k processes can enter their critical sections simultaneously. Nondominated k-coteries are more resilient to network and site failures than doninated k-coteries; that is the availability and reliability of a distributed system is better if nondominated k-coteries are used. Algorithms to construct k-coteries have been proposed, unfortunately they have some restrictions, especially in constructing nondominated k-coteries. The restrictions are due to the combination of N, the number of nodes in a distributed system, and k, the number of processes allowed to enter their critical sections simultaneously. To solve this problem, this paper proposes an algorithm to construct nondominated k-coteries for all combination of N and k.
Volume: 18
Issue: 2
Page: 953-960
Publish at: 2020-05-01

A new patch antenna for ultra wide band communication applications

10.11591/ijeecs.v18.i2.pp848-855
Anwar Sabah , Malik Jasim Farhan
A printed monopole patch Ultra Wide Band (UWB) antenna for use in UWB application is proposed in this paper. The proposed antenna consists of a patch with appropriate dimensions on one side of a dielectric substrate, and a partial ground plane on the other side of the substrate. The techniques that used to enhance the bandwidth are the partial ground plane, feed point position and adjusted feed gap. The substrate that is used in the proposed antenna is Fr4 epoxy, the optimum dimensions of the antenna are 40mm×28mm×1.5mm this antenna designed by HFSS program. The band achieved by the proposed antenna is from 3.6GHz to 15GHz. This antenna is fabricated in the ministry of science and technology Baghdad-Iraq and a good agreement between simulation and measured S11 is achieved. 
Volume: 18
Issue: 2
Page: 848-855
Publish at: 2020-05-01

An enhanced hybrid genetic algorithm for solving traveling salesman problem

10.11591/ijeecs.v18.i2.pp1035-1039
Zeravan Arif Ali , Subhi Ahmed Rasheed , Nabeel No’man Ali
Robust known the exceedingly famed NP-hard problem in combinatorial optimization is the Traveling Salesman Problem (TSP), promoting the skillful algorithms to get the solution of TSP have been the burden for several scholars. For inquiring global optimal solution, the presented algorithm hybridizes genetic and local search algorithm to take out the uplifted quality results. The genetic algorithm gives the best individual of population by enhancing both cross over and mutation operators while local search gives the best local solutions by testing all neighbor solution. By comparing with the conventional genetic algorithm, the numerical outcomes acts that the presented algorithm is more adequate to attain optimal or very near to it. Problems arrested from the TSP library strongly trial the algorithm and shows that the proposed algorithm can reap outcomes within reach optimal. For more details, please download TEMPLATE HELP FILE from the website.
Volume: 18
Issue: 2
Page: 1035-1039
Publish at: 2020-05-01

Analysis of 4G mobile network coverage in UTeM technology campus

10.11591/ijeecs.v18.i2.pp882-889
Zahariah Manap , Anis Suhaila Mohd Zain , Rahaini Mohd Said , Shawn Shivaneson Balakirisnan
This paper proposes an analysis of the coverage performance of 4G cellular services in UTeM Technology Campus. The performance of the cellular services is presented as the network’s coverage profile which is based on the received signal strength indicator (RSSI). The area under study is virtually divided into 64 grid points where the average RSSI measurements are captured by using an open source software namely G-Mon. The measured values are mapped into the network coverage profile which represents the signal reception quality at each of the grid points. A statistical analysis called Two-Way ANOVA is performed to investigate the correlation of the performance of 4G cellular services in UTeM Technology Campus with the mobile phone brands and service operators. Based on the analysis, it is found that the signal reception in outdoor areas are better than that of indoor areas. In addition, the analysis shows that the propagation loss and signal degradation are two factors that contribute to the 4G services’ performance in UTeM Technology Campus. 
Volume: 18
Issue: 2
Page: 882-889
Publish at: 2020-05-01
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