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31,456 Article Results

Enhancenig OLSR routing protocol using K-means clustering in MANETs

10.11591/ijece.v10i4.pp3715-3724
Y. Hamzaoui , M. Amnai , A. Choukri , Y. Fakhri
The design of robust routing protocol schemes for MANETs is quite complex, due to the characteristics and structural constraints of this network. A numerous variety of protocol schemes have been proposed in literature. Most of them are based on traditional method of routing, which doesn’t guarantee basic levels of Qos, when the network becomes larger, denser and dynamic. To solve this problem we use one of the most popular methods named clustering. In this work we try to improve the Qos in MANETs. We propose an algorithm of clustering based in the new mobility metric and K-Means method to distribute the nodes into several clusters; it is implemented to standard OLSR protocol giving birth a new protocol named OLSR Kmeans-SDE. The simulations showed that the results obtained by OLSR Kmeans-SDE exceed those obtained by standard OLSR Kmeans and OLSR Kmed+ in terms of, traffic Control, delay and packet delivery ratio.
Volume: 10
Issue: 4
Page: 3715-3724
Publish at: 2020-08-01

Discrete penguins search optimization algorithm to solve flow shop scheduling problem

https://ijece.iaescore.com/index.php/IJECE/article/view/20567
Ilyass Mzili , Mohammed Essaid Riffi , Fatiha Benzakri
Flow shop scheduling problem is one of the most classical NP-hard optimization problem. Which aims to find the best planning that minimizes the makespan (total completion time) of a set of tasks in a set of machines with certain constraints. In this paper, we propose a new nature inspired metaheuristic to solve the flow shop scheduling problem (FSSP), called penguins search optimization algorithm (PeSOA) based on collaborative hunting strategy of penguins.The operators and parameter values of PeSOA redefined to solve this problem. The performance of the penguins search optimization algorithm is tested on a set of benchmarks instances of FSSP from OR-Library, The results of the tests show that PeSOA is superior to some other metaheuristics algorithms, in terms of the quality of the solutions found and the execution time.
Volume: 10
Issue: 4
Page: 4426-4435
Publish at: 2020-08-01

A comprehensive study on disease risk predictions in machine learning

10.11591/ijece.v10i4.pp4217-4225
G. Saranya , A. Pravin
Over recent years, multiple disease risk prediction models have been developed. These models use various patient characteristics to estimate the probability of outcomes over a certain period of time and hold the potential to improve decision making and individualize care. Discovering hidden patterns and interactions from medical databases with growing evaluation of the disease prediction model has become crucial. It needs many trials in traditional clinical findings that could complicate disease prediction. Comprehensive survey on different strategies used to predict disease is conferred in this paper. Applying these techniques to healthcare data, has improvement of risk prediction models to find out the patients who would get benefit from disease management programs to reduce hospital readmission and healthcare cost, but the results of these endeavours have been shifted.
Volume: 10
Issue: 4
Page: 4217-4225
Publish at: 2020-08-01

Competency improvement through internship: An evaluation of corporate social responsibility program in vocational school

10.11591/ijere.v9i3.20571
Mgs. Ahmad Ramadhani , Ety Rahayu
The high unemployment rate in Indonesia derived from vocational school graduates could be alleviated through internship as a part of Corporate Social Responsibility program that deployed by company together with school to equip its students or graduates with set of competences, therefore they will be competent and able to compete in job market, especially in the era of disruptive technologies. This applied research of evaluation using qualitative approach aimed to evaluate the input and process of the corporate social responsibility program in vocational internship conducted by an oil and gas manufacturing company in Indonesia. The results of this revealed some inputs that were the source of program success and processes that determined the quality of the program. Aspects of input generally met the ideal criteria such as competent program staff, participant characteristic reflecting program objectives, flexible and synchronized curriculum, adequate facility, and available procedure. Aspects of the process complied with regulations and procedures as well. Both aspects resulted the achievement of outcome that exceeded expectation such as competence improvement, cost saving, awards and provide information to be replicated by other institutions.
Volume: 9
Issue: 3
Page: 625-634
Publish at: 2020-08-01

The role of parent-child relationship, school climate, happiness, and empathy to predict cyberbullying behavior

10.11591/ijere.v9i3.20299
Triantoro Safaria , Hadi Suyono
The lack of research on cyberbullying among Indonesian adolescents has become one of the critical arguments of this research. This study aimed to discover the factors that contribute to cyberbullying. This study took samples of students from three schools. The sample was 112 junior to senior high school students. The findings of this study indicate that school climate, parent-child relationship, and empathy have a significant role that encourages cyberbullying.
Volume: 9
Issue: 3
Page: 548-557
Publish at: 2020-08-01

Cloud computing survey on services, enhancements and challenges in the era of machine learning and data science

10.11591/ijict.v9i2.pp117-139
Wajid Hassan , Te-Shun Chou , Omar Tamer , John Pickard , Patrick Appiah-Kubi , Leslie Pagliari
Cloud computing has sweeping impact on the human productivity. Today it’s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect the cloud computing growth however there exist various research challenges in cloud computing adoption such as lack of well managed service level agreement (SLA), frequent disconnections, resource scarcity, interoperability, privacy, and reliability. Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers. We also discuss Impact of Cloud Computing and Cloud Standards. Hence in this research paper, a detailed survey of cloud computing, concepts, architectural principles, key services, and implementation, design and deployment challenges of cloud computing are discussed in detail and important future research directions in the era of Machine Learning and Data Science have been identified.
Volume: 9
Issue: 2
Page: 117-139
Publish at: 2020-08-01

Encryption and hiding text using DNA coding and hyperchaotic system

10.11591/ijeecs.v19.i2.pp766-774
Zeena N. Al-Khateeb , Melad Jader
In this paper, a secure data encryption using DNA sequence operation in a new and innovative direction different from the traditional direction, DNA coding uses the eight rules of DNA code based on a sequence of letter in text that provides the possibility of encrypting the same letter or word in more than one form in one text-based on sequence of this letter or word in the text. Then hiding technique implemented based on a hyperchaotic system. To increase the security of encryption text, we use the hyperchaotic system for obtaining the color image position that used to hide on it. The proposed steganography method hides a letter of the encrypted text in each pixel of the cover image, thus giving the possibility of hiding large text data. Some metrics have been applied to the proposed algorithm such as NPCR analyses, MSE, Correlation, and BER, The results of the simulation and security analysis showed that the new DNA coding is suitable for text encryption/decryption and that the super-chaotic map is suitable for hiding/extract the encrypted data, which indicates that the proposed encryption algorithm has a good encryption and hiding effect. Can resist brute statistical attack, force attack, differential.
Volume: 19
Issue: 2
Page: 766-774
Publish at: 2020-08-01

Circular polarization reconfigurable antenna for mid-band 5G applications with a new reconfigurable technique

10.11591/ijeecs.v19.i2.pp802-810
Alaa Imran AL-Muttairi , Malik Jasim Farhan
In this paper, a novel low cost, single-feed, and circular polarization reconfigurable antenna is designed and fabricated for future mid-band 5G applications. An innovative technique is used in this approach, which combines three techniques, namely: polygon U-slot, switchable vertical or horizontal slots, and shorting posts. The proposed antenna can alter its polarization sense between RHCP and LHCP with the ability to adjust the axial ratio position with respect to frequency along the impedance bandwidth of the antenna. The antenna is built on RT/duroid 5880 substrate with a maximum size of (31*31*3.15) .Two real diodes are integrated across the slot to change polarization sense. CST commercial software is used to simulate the antenna, and then it is fabricated and measured practically. Good agreements between the two results are achieved. However, The antenna has impedance bandwidth starting from 3.4995GHz to 3.73GHz with overlapped axial ratio bandwidth of 2.1% for both operation senses. Also, the antenna has good gain, and it has one resonant frequency at 3.6GHz for both operating states.
Volume: 19
Issue: 2
Page: 802-810
Publish at: 2020-08-01

Experimental investigation of photovoltaic thermal solar air collector with exergy performance comparison

10.11591/ijeecs.v19.i2.pp652-658
Bahtiar Bahtiar , Muhammad Zohri , Ahmad Fudholi
The integration of photovoltaic technology and solar air collector is named a photovoltaic thermal (PVT) system. PVT system generates electricity as pumping power to fan DC and produces thermal energy together with to cooling PV panel. The experimental with the indoor and outdoor evaluation of PVT solar air collector have been compared at the chosen solar intensity of 820 W/m2. The mass flow rate is range from 0.01 kg/s to 0.05 kg/s. The exergy and efficiency exergy accuracy of PVT solar air collector between indoor and outdoor evaluation are 98.42%, 98.11% respectively. The exergy and exergy efficiency comparison results indicated that the indoor and outdoor investigation is suitable. 
Volume: 19
Issue: 2
Page: 652-658
Publish at: 2020-08-01

Bullying behavior among students

10.11591/ijere.v9i3.20437
Maria Ulfah , Erni Gustina
This study aimed to investigate whether communication patterns, peers’ involvement and gender different can be the predictors of adolescent bullying behavior. This study involved 193 adolescents of grade 8 and 9 with the most adolescents of 14 years old who had filled in questionnaires. The results showed the prevalence of adolescent involvement in bullying which was 62.69%. Parental communication patterns have an OR = 1.64 (95% CI=0.87-3.09). Peers involvement in bullying behavior (OR=1.92; 95% CI=1.01-3.66). Adolescent girls were more involved in bullying behavior (59.59%) compared to adolescent boys (OR=3.32; 95% CI=1.69-6.54). Poor parental communication patterns, peers influence negatively predict to the bullying behavior in adolescent. Bullying is higher in boys than girls where as boys has a greater chance of bullying than girls. Therefore, bullying intervention programs are needed in schools.
Volume: 9
Issue: 3
Page: 644-649
Publish at: 2020-08-01

Non-isolated multiple input multilevel output DC-DC converter for hybrid power system

10.11591/ijeecs.v19.i2.pp635-643
Ameen M. Al-Modaffer , Amer A. Chlaihawi , Husam A. Wahhab
The utilization of multisources of energy in a compact and an effective power system gains an essential role in power electronic industry. As such, the design and simulation of a new non-isolated multiple input multilevel output (MIMLO) DC-DC converter for hybrid power system is presented. The MIMLO DC-DC converter can be integrated in renewable energy, such as fuel cells, wind turbines and photovoltaic arrays etc, to get the best output voltages. The MIMLO DC-DC converter powers the load from renewable energy sources through the independence of the availability of other sources. The proposed topology has been simulated by using MATLAB/Simulink software to testify the performance control operation of the multiple input multilevel output DC-DC converter. The results of the carried-out simulation favor the usage of multi-input voltage, rather than a single input voltage. The MIMLO design has the advantages of a simple configuration, reduced number of switches, fewer components, high efficiency, and high conversion ratio. The multilevel output DC-DC converter provides high voltage transfer with low size inductors, reduction of losses, low stress voltage on switches and diodes. 
Volume: 19
Issue: 2
Page: 635-643
Publish at: 2020-08-01

Suicidal thoughts among university students: The role of mattering, state self-esteem and depression level

10.11591/ijere.v9i3.20587
Kususanto Ditto Prihadi , Charon Y.S. Wong , Erina Y.V. Chong , Kate Y.X. Chong
The protective role of mattering on suicide ideation among university students was examined. Our study is grounded in the Interpersonal-Psychological Theory of Suicide, which led to a hypothesis that between depression levels and state self-esteem has significant serial multiple mediating effects on the relationship between mattering and suicide ideation. University students from various nationality who study in Indonesia and Malaysia (n=509) responded to General Mattering Scale, State Self-Esteem Scale, Beck’s Depression Inventory, and Suicide Ideation Attributes Scale, as well as demographic details including their gender, spirituality, education, birth order and nationality. The result of Bootstrap analyses with 95% confident interval from 5000 samples suggested that the serial mediation partially occurred to the link between mattering and suicide ideation.
Volume: 9
Issue: 3
Page: 494-502
Publish at: 2020-08-01

Energy cost savings based on the UPS

10.11591/ijece.v10i4.pp4237-4243
Phu Tran Tin , Duy Hung Ha , Minh Tran , Quang Sy Vu
Energy-saving, improving energy efficiency, and finding a new efficient way to use energy are considered as an urgent problem in over the world. In this paper, we consider the economics of energy use in combination with energy storage units where two forms of electricity exist in the power system. Then the problem of optimizing the installation capacity (to optimize the investment costs for energy storage) is presented and investigated in connection with the conversion systems. The topic opens a very significant result, including the introduction of a mathematical model to calculate the simulation in optimizing the installation capacity of the equipment in the system, multi-source power, as well as voltage and power stability benefits.
Volume: 10
Issue: 4
Page: 4237-4243
Publish at: 2020-08-01

Smart monitoring system of Najran dam

10.11591/ijece.v10i4.pp3999-4007
A. H. M. Almawgani , M. A. Alshorman , M. A. Alyami , H. M. Alhmammi , D. S. Almahri , M. A. Alkhuraym , A. H. Alwasel
Najran city faces the flood situation every year due to intensive rain and climatic disturbances. Flooding also causes loss of money, along with loss of life and property and the destruction of agriculture and livestock. Thus, this project proposes a conceptual framework with three main phases: monitoring the water level inside the dam and level in water stream before and after the dam, controlling the opening and closing of the dam gate and measuring the water pressure at the dam barrier. In the case of high water level dam is monitored through water sensors placed at the top of the dam and then these sensors give a reference to the stepper motor and the flow of the stepper motor is controlled by the dam gate. The experimental results shows that the proposed system has the capability to reliably tackle the flood water. It can accurately measure the water level and control the gate of dam as soon as the level of the water reaches to danger level and water pressure at the barrier is measured by the sensor. The developed real-time monitoring system in Najran dam will help authorities to take preventive actions to deal with flood disaster.
Volume: 10
Issue: 4
Page: 3999-4007
Publish at: 2020-08-01

Design of probe for NQR/NMR detection

10.11591/ijece.v10i4.pp3468-3475
Preeti Hemnani , A. K. Rajarajan , Gopal Joshi , S. V. G. Ravindranath
Nuclear Magnetic Resonance (NMR) is a RF technique that is able to detect any compound by sensing the excited resonance signals from atomic nuclei having non-zero spin. NQR is similar to NMR but the only difference is NMR needs a DC magnetic field and due to this its application in the field is limited. A FPGA based NQR spectrometer is designed using a single FPGA chip to perform the digital tasks required for NQR spectrometer. Design of Probe for NMR/NQR spectrometer is researched. Parallel tuned and series tuned Probes are discussed and simulated.14N NQR from NaNO2 is observed from spectrometer designed with parallel tuned probe.
Volume: 10
Issue: 4
Page: 3468-3475
Publish at: 2020-08-01
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