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31,456 Article Results

Modeling and simulation of SEPIC controlled converter using PID controller

10.11591/ijpeds.v11.i2.pp833-843
Salam Ibrahim Khather , Muhammed A. Ibrahim
The topology of SEPIC "Single-ended primary inductance converter" is considered as a suitable option for automotive power system where the value of the output voltage should be ranging between the low and high values of the input value of voltage. The main feature of the DC-DC converter is the stability of output voltage. This paper shows the SEPIC converter employing PID converter to be used in industrial applications. A SEPIC DC-DC converter can manage either step-down mode or step-up mode. The benefit of using this circuit is to supply a stable and controlled output voltage no matter how much the input voltage is. The simulated behaviors of the uncontrolled and controlled SEPIC converter are presented in this paper. The PID controller based on bat algorithm (BA) optimization method is used for searching of the best Proportional–Integral-Derivative (PID) gains. The solution has given very good performance and whatever the output reference voltage variation and load disturbance of the system.
Volume: 11
Issue: 2
Page: 833-843
Publish at: 2020-06-01

Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements

10.11591/ijece.v10i3.pp2824-2841
M. M. H. Elroby , S. F. Mekhamer , H. E. A. Talaat , M. A. Moustafa Hassan
This paper presents a generalized optimal placement of Phasor Measurement Units (PMUs) considering power system observability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover, the economic study for additional new data transmission paths is considered as well as the availability of predefined locations of some PMUs and the preexisting communication devices (CDs) in some buses. Two cases for the location of the Control Center Base Station (CCBS) are considered; predefined case and free selected case. The PMUs placement and their required communication network topology and channel capacity are co-optimized simultaneously. In this study, two different approaches are applied to optimize the objective function; the first approach is combined from Binary Particle Swarm Optimization-Gravitational Search Algorithm (BPSOGSA) and the Minimum Spanning Tree (MST) algorithm, while the second approach is based only on BPSOGSA. The feasibility of the proposed approaches are examined by applying it to IEEE 14-bus and IEEE 118-bus systems.
Volume: 10
Issue: 3
Page: 2824-2841
Publish at: 2020-06-01

A technical review and comparative analysis of machine learning techniques for intrusion detection systems in MANET

10.11591/ijece.v10i3.pp2701-2709
Safaa laqtib , Khalid El Yassini , Moulay Lahcen Hasnaoui
Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and classifying cyber attacks at the network-level and the host-level in a timely and automatic manner. However, Traditional Intrusion Detection Systems (IDS), based on traditional machine learning methods, lacks reliability and accuracy. Instead of the traditional machine learning used in previous researches, we think deep learning has the potential to perform better in extracting features of massive data considering the massive cyber traffic in real life. Generally Mobile Ad Hoc Networks have given the low physical security for mobile devices, because of the properties such as node mobility, lack of centralized management and limited bandwidth. To tackle these security issues, traditional cryptography schemes can-not completely safeguard MANETs in terms of novel threats and vulnerabilities, thus by applying Deep learning methods techniques in IDS are capable of adapting the dynamic environments of MANETs and enables the system to make decisions on intrusion while continuing to learn about their mobile environment. An IDS in MANET is a sensoring mechanism that monitors nodes and network activities in order to detect malicious actions and malicious attempt performed by Intruders. Recently, multiple deep learning approaches have been proposed to enhance the performance of intrusion detection system. In this paper, we made a systematic comparison of three models, Inceprtion architecture convolutional neural network Inception-CNN, Bidirectional long short-term memory (BLSTM) and deep belief network (DBN) on the deep learning-based intrusion detection systems, using the NSL-KDD dataset containing information about intrusion and regular network connections, the goal is to provide basic guidance on the choice of deep learning methods in MANET.
Volume: 10
Issue: 3
Page: 2701-2709
Publish at: 2020-06-01

LSTM deep learning method for network intrusion detection system

10.11591/ijece.v10i3.pp3315-3322
Alaeddine Boukhalfa , Abderrahim Abdellaoui , Nabil Hmina , Habiba Chaoui
The security of the network has become a primary concern for organizations. Attackers use different means to disrupt services or steal information, these various attacks push to think of a new way to block them all in one manner. In addition, these intrusions can change and penetrate the devices of security. To solve these issues, we suggest, in this paper, a new idea for Network Intrusion Detection System (NIDS) based on Long Short-TermMemory (LSTM) to recognize menaces and to obtain a long-term memory on them, inorder to stop the new attacks that are like the existing ones, and at the sametime, to have a single mean to block intrusions. According to the results of the experiments of detections that we have carried out, the Accuracy reaches upto 99.98 % and 99.93 % for respectively the classification of two classes and several classes, Also the False Positive Rate (FPR) reaches up to only 0,068 % and 0,023 % for respectively the classification of two classes and several classes, which proves that the proposed model is very effective, it has a great ability to memorize and differentiate between normal traffic and attack traffic and its identification is more accurate than other Machine Learning classifiers.
Volume: 10
Issue: 3
Page: 3315-3322
Publish at: 2020-06-01

Electrical energy production from plant biomass: an analysis model development for Pandanus Amaryllifolius plant microbial fuel cell

10.11591/ijeecs.v18.i3.pp1163-1171
Teng Howe Cheng , Kok Boon Ching , Chessda Uttraphan , Yee Mei Heong
Plant microbial fuel cell (P-MFC) is an electrochemical reactor that converts organic compounds to electrical energy through the catalytic reaction from electrochemically active bacteria (EAB). However, there is no sign of an attempt in developing the functional model in predicting the energy conversion and utilization of P-MFC. In this study, an analytic model is proposed to show the whole production process of the organic compound to electrical energy generation. Pandanus Amaryllifolius plant was used as sources of photosynthate, where biomass product from rhizodeposition, acetate was produced, and soil bacteria as the microbial culture, and air as the input to the cathode chamber. The proposed analytical model is able to predict the output of the P-MFC using the parameters from the experiment. The generated data from the model was then compared with the monitored data from the Pandanus Amaryllifolius P-MFC. The results show the electrical power output has a high similarity pattern with the bacterial growth curve model and able to achieve the coulombic efficiency of 95.32%.
Volume: 18
Issue: 3
Page: 1163-1171
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

Two-level scheduling scheme for integrated 4G-WLAN network

10.11591/ijece.v10i3.pp2633-2643
Mohammed Qasim Taha , Zaid Hussien Ali , Abdullah Khalid Ahmed
In this paper, a novel scheduling scheme for the Fourth Generation (4G)-Wireless Local Area Network (WLAN) network is proposed to ensure that end to end traffic transaction is provisioned seamlessly. The scheduling scheme is divided into two stages; in stage one, traffic is separated into Actual Time Traffic (ATT) and Non-Actual-Time Traffic (NATT), while in stage two, complex queuing strategy is performed. In stage one, Class-Based Queuing (CBQ) and Deficit Round Robin (DRR) are used for NATT and ATT applications, respectively to separate and forward traffic themselves according to source requirements. Whereas in the stage, two Control Priority Queuing (CPQ) is used to assign each class the appropriate priority level. Evaluation of the performance of the integrated network was done according to several metrics such as end-to-end delay, jitter, packet loss, and network’s throughput. Results demonstrate major improvements for AT services with minor degradation on NAT applications after implementing the new scheduling scheme.
Volume: 10
Issue: 3
Page: 2633-2643
Publish at: 2020-06-01

Stationenlernen learning techniques and German language learning outcomes

10.11591/ijere.v9i2.20467
Samuel Jusuf Litualy , Henderika Serpara
This quasi-experimental study was conducted with the aim of obtaining a clear picture of the presence of influence of the application of Stationenlernen learning techniques to the learning outcomes of German students. The study population was all of these students, while the selected sample was 11th grade students. Data collection techniques used in this study are: (1) observation and interviews, (2) the implementation of pre-test (3) the implementation of experiments, and (4) the implementation of post-test, the data obtained are calculated and analyzed using SPSS -18 to obtain accurate and reliable calculation results. Learning outcomes with Stationenlernen learning techniques turn out to be higher than without it.
Volume: 9
Issue: 2
Page: 421-426
Publish at: 2020-06-01

Design and implement WSN/IoT smart parking management system using microcontroller

10.11591/ijece.v10i3.pp3108-3115
A. E. Hamza , H. H. Qasim , S. A. Alwash , M. M. Fadhel , L. Audah , H. H. Ibrahim , O. S. Hamed , M. I. Hamza , H. A. Saeed
With the dramatic expansion of new networks such as Wireless Sensor Network (WSN) and Internet-of-Things (IoT), tremendous opportunities have been emerged to incorporate such technologies for valuable tasks. One of these tasks is the smart car parking where there is an imperative demand to manage the parkings in various facilities which may help drivers to save their time. Several research studies have addressed this task using wide range of approaches. However, the energy consumption is still a serious concern. This paper proposes a smart car parking based on cloud-based approach along with variety of sensors. Passive Infrared Sensors (PIRs) have been used to sense the object motion. While Light Dependent Resistor (LDR) sensors have been utilized to sense the light of the parking alarm and display inmformation regarding the occupied and non-occupied parking lots. Finally, multi-micro controller of Arduino have been exploited in order to transmit the information collected to the server. Finally, a prototype Android application has been developed in order to recieve the infromation from the server. Results of simulation showed the efficacy of the proposed method.
Volume: 10
Issue: 3
Page: 3108-3115
Publish at: 2020-06-01

Mobile edge computing for internet of things (IoT): security and privacy issues

10.11591/ijeecs.v18.i3.pp1486-1493
Atiqur Rahman , Guangfu Wu , Ali Md Liton
Nowadays, the masonry for environment-friendly and protected network structure designs, for example, the Internet of Things and gigantic data analytics are increasing at a faster pace compared to an earlier state. Mobile edge computing for an Internet of Things widget is information processing that is achieved at or close to the collectors of information in an Internet of Things system. Herein, we are proposing to temporarily evaluation the concepts, features, protection, and privacy applications of Internet of Things authorized mobile edge computing with its data protection view in our data-driven globe. We focus on illuminating one of kind components that need to be taken into consideration whilst creating a scalable, consistent, impenetrable and disseminated mobile edge computing structure. We also sum up the fundamental ideas regarding security threat alleviation strategies. After that, we walk around the existing challenges and opportunities in the area of mobile edge computing. In conclusion, we analyze a case study, in which a security protection mechanism can be hardened to lift out everyday jobs.
Volume: 18
Issue: 3
Page: 1486-1493
Publish at: 2020-06-01

Design and control technique for single phase bipolar H-bridge inverter connected to the grid

10.11591/ijece.v10i3.pp3057-3065
Linda Hassaine , Mohamed Rida Bengourina
The power quality injected into the grid and the performance of the converter system depend on the quality of the inverter current control. This paper proposes a design and control technique for a photovoltaic inverter connected to the grid based on the digital pulse-width modulation (DSPWM) which can synchronise a sinusoidal output current with a grid voltage and control a power factor. The current injected must be sinusoidal with reduced harmonic distortion. The connected PV system is based on H-Bridge inverter controlled by bipolar PWM Switching. The current control technique and functional structure of this system are presented and simulated. Detailed analysis, Simulations results of output voltage and current waveform demonstrate the contribution of this approach to determinate the suitable control of the system. A digital design of a generator PWM using VHDL is proposed and implemented on an Xilinx FPGA and it has been validated with experimental results. As a result, the proposed inverter implementation is simple, and it becomes an attractive solution for low power grid connected applications.
Volume: 10
Issue: 3
Page: 3057-3065
Publish at: 2020-06-01

Energy-economic-environmental analysis of solar drying system: a review

10.11591/ijpeds.v11.i2.pp1011-1018
Wan Nurlaila Yusra Mat Desa , Ahmad Fudholi , Zahira Yaakob
Solar drying is an emerging technology to preserve wide range of products from agriculture to animal-based products. The application of solar dryers, however must be evaluated to determine its benefit and effectiveness. In the evaluation of solar dryer performance, three criteria which are most important to look at are thermal performance, economic cost and environmental implications. Therefore, this paper attempts to review the thermoeconomic analysis and environmental evaluation on various solar drying system. Performance equations in energy–economic–environment analyses for solar drying syistems evaluation are presented. The CO2 emission, carbon mitigation, and earned carbon credit of various solar drying syistem are also presented.
Volume: 11
Issue: 2
Page: 1011-1018
Publish at: 2020-06-01

Content adaptive single image interpolation based super resolution of compressed images

10.11591/ijece.v10i3.pp3014-3021
Amanjot Singh , Jagroop Singh
Image Super resolution is used to upscale the low resolution Images. It is also known as image upscaling .This paper focuses on upscaling of compressed images based on Interpolation techniques. A content adaptive interpolation method of image upscaling has been proposed. This interpolation based scheme is useful for single image based Super-resolution (SR) methods .The presented method works on horizontal, vertical and diagonal directions of an image separately and it is adaptive to the local content of an image. This method relies only on single image and uses the content of the original image only; therefore the proposed method is more practical and realistic. The simulation results have been compared to other standard methods with the help of various performance matrices like PSNR, MSE, MSSIM etc. which indicates the preeminence of the proposed method.
Volume: 10
Issue: 3
Page: 3014-3021
Publish at: 2020-06-01

Applying the big bang-big crunch metaheuristic to large-sized operational problems

10.11591/ijece.v10i3.pp2484-2502
Yousef K. Qawqzeh , Ghaith Jaradat , Ali Al-Yousef , Anmar Abu-Hamdah , Ibrahim Almarashdeh , Mutasem Alsmadi , Mohammed Tayfour , Khalid Shaker , Firas Haddad
In this study, we present an investigation of comparing the capability of a big bang-big crunch metaheuristic (BBBC) for managing operational problems including combinatorial optimization problems. The BBBC is a product of the evolution theory of the universe in physics and astronomy. Two main phases of BBBC are the big bang and the big crunch. The big bang phase involves the creation of a population of random initial solutions, while in the big crunch phase these solutions are shrunk into one elite solution exhibited by a mass center. This study looks into the BBBC’s effectiveness in assignment and scheduling problems. Where it was enhanced by incorporating an elite pool of diverse and high quality solutions; a simple descent heuristic as a local search method; implicit recombination; Euclidean distance; dynamic population size; and elitism strategies. Those strategies provide a balanced search of diverse and good quality population. The investigation is conducted by comparing the proposed BBBC with similar metaheuristics. The BBBC is tested on three different classes of combinatorial optimization problems; namely, quadratic assignment, bin packing, and job shop scheduling problems. Where the incorporated strategies have a greater impact on the BBBC's performance. Experiments showed that the BBBC maintains a good balance between diversity and quality which produces high-quality solutions, and outperforms other identical metaheuristics (e.g. swarm intelligence and evolutionary algorithms) reported in the literature.
Volume: 10
Issue: 3
Page: 2484-2502
Publish at: 2020-06-01

Approach to minimizing consumption of energy in wireless sensor networks

10.11591/ijece.v10i3.pp2551-2561
Seddiki Noureddine , Benahmed Khelifa , Belgachi Mohammed
The Wireless Sensor Networks (WSN) technology has benefited from a central position in the research space of future emerging networks by its diversity of applications fields and also by its optimization techniques of its various constraints, more essentially, the minimization of nodal energy consumption to increase the global network lifetime. To answer this saving energy problem, several solutions have been proposed at the protocol stack level of the WSN. In this paper, after presenting a state of the art of this technology and its conservation energy techniques at the protocol stack level, we were interested in the network layer to propose a routing solution based on a localization aspect that allows the creation of a virtual grid on the coverage area and introduces it to the two most well-known energy efficiency hierarchical routing protocols, LEACH and PEGASIS. This allowed us to minimize the energy consumption and to select the clusters heads in a deterministic way unlike LEACH which is done in a probabilistic way and also to minimize the latency in PEGASIS, by decomposing its chain into several independent chains. The simulation results, under "MATLABR2015b", have shown the efficiency of our approach in terms of overall residual energy and network lifetime.
Volume: 10
Issue: 3
Page: 2551-2561
Publish at: 2020-06-01
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