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31,377 Article Results

Cogeneration of energy in solar systems - a study case, Kosovo

10.11591/ijpeds.v10.i3.pp1675-1686
Bukurije Hoxha , Rexhep Selimaj , Drenusha Krasniqi , Sabrije Osmanaj
Nowadays the main goal of sustainable energy supply is the use of renewable energy sources and, in addition, the increased efficiency of the energy used. One possibility of using renewable energies is the use of solar energy through photovoltaic panels. Taking into account the meteorological characteristics of the country in which the study takes place, it appears that the use of photovoltaic panels will be available most of the time during the year. We applied a model of hybrid solar collectors for maintaining the cell temperature near 25°C by introducing a flat plate cover integrated with solar cells. This method represents a way to increase the efficiency of the solar collector. This will enable the production of electricity from the part of the photovoltaic panel incorporated into the solar collector, in which the water temperature will increase, and this heat from the water is due to the effect of sunlight and as a result of cooling the part of the photovoltaic panel. This represents an increase in the efficiency of the system and the main purpose of our analysis.
Volume: 10
Issue: 3
Page: 1675-1686
Publish at: 2019-09-01

Performance of channel selection used for Multi-class EEG signal classification of motor imagery

10.11591/ijeecs.v15.i3.pp1305-1312
Djelloul Kheira , M. Beladgham
In this paper, a study of a non-invasive brain-machine interfaces for the classification of 4 imaginary are presented. Performance comparisons using time-frequency analysis between the Linear Discriminant Analysis motor activities (left hand, right hand, foot, tongue) with the BCI competition III dataset IIIa is (LDA), the Support Vector Machine (SVM) and the K-Nearest Neighbors (KNN) algorithms have been carried. The number and position of electrodes for each subject were investigated to provide an improvement for the classification accuracy of the algorithm. Results show that the electrode positions varied from subject to subject; moreover , using one subset of the channels enhanced the classification performances compared to literature data. an average accuracy of 86.06% was observed among all 3 subjects.
Volume: 15
Issue: 3
Page: 1305-1312
Publish at: 2019-09-01

Application of artificial intelligence techniques for LFC and AVR systems using PID controller

10.11591/ijpeds.v10.i3.pp1694-1704
Ghassan Abdullah Salman , Assama Sahib Jafar , Ammar Issa Ismael
Development of electrical power systems led to search for  a new mathematical methods to find the values of PID (Proportional-Integral-Derivative) controller. The goal of the paper is to improve the performance of the overall system, through improved the frequency deviation and the voltage deviation characteristics using PID controller, so in this paper are proposed three methods of artificial intelligence techniques for designing the optimal values of PID controller of Load-Frequency-Control (LFC) and Automatic-Voltage-Regulator (AVR), the first is the Firefly Algorithm (FA), the second is the Genetic Algorithm (GA) and the third is the Particle Swarm Optimization (PSO), in addition to these three methods use the conventional (Ziegler–Nichols, Z-N). The FA, GA and PSO are used to obtain the optimal parameters of PID controller based on minimized different various indices as a fitness function, these fitness functions namely Integral-Time-Absolute-Error (ITAE) and Integral-Time-Square-Error (ITSE). Comparison between the results obtained show that FA has better performance to control of frequency deviation and terminal voltage than GA and PSO, so the results observed the FA is more effectual and reliable to determine the optimal values of PID controller.
Volume: 10
Issue: 3
Page: 1694-1704
Publish at: 2019-09-01

Risky teenager behavior in a vocational high school

10.11591/ijere.v8i3.20241
Suci Musvita Ayu , Marsiana Wibowo , Liena Sofiana
Adolescence is a very complex period. Various teen problems haunt when they grow up to become adults. The same teenagers successfully face the challenges of their development so that they are free from a variety of risky behaviors. However, some of them also smoke, consume alcohol, have free sex, commit violence, and use drugs. This research is a qualitative study with a phenomenological approach in which researchers explore and try some risky behaviors in health and factors that influence and how adolescents in vocational high schools end up committing some risky behavior. The results of the study show that teens who do not have risky behavior and who do have some risk behaviors have different understandings related to the impact of these behaviors. People around teenagers influence how teenagers will behave. These influential people can cause teenagers to take risky behavior, such as family problems, get bad examples from parents, family members, peers, and idols. Factors that influence adolescents to end up committing risky behavior are the understanding of the negative effects of risk behavior. The various causes of influential people include parents, peers, religious leaders, idols, perceived benefits, self-control, and intention. The internal and external factors of adolescents determine whether the teenager will do or not risky behavior. Strong collaboration between internal and external factors shapes behavior which is not risky in adolescents, and vice versa.
Volume: 8
Issue: 3
Page: 470-475
Publish at: 2019-09-01

High performance PV system based on artificial neural network MPPT with PI controller for direct current water pump applications

10.11591/ijpeds.v10.i3.pp1329-1338
Hussain Attia
This paper presents a new design of a standalone photovoltaic system which is supplying the required power to a direct current water pump that have difficulty to supply by the utility electricity. The system is controlled by an artificial neural networks (ANN) algorithm with function softening by PI controller that to guarantee the maximum power point tracking (MPPT) working conditions. A parallel connected PV array is designed to supply the required power to the water pump. The proposed design considers Permanent Magnet DC motor (PMDC) of 48 Volts, and 500 Watts as a water pump’s motor, the direct current (DC) pump is adopted to avoid the complexity of the alternating current AC pumping system which includes inverter, power filter, and insulated step up transformer, so the presented design avoids the mentioned AC system components. A feed forward ANN algorithm is adopted in this study to produce the reference voltage for the MPPT functioning of the PV system, Proportional Integral (PI) controller is inserted to soften the MPPT controller performance. System design, MATLAB simulation with results and the results’ analysis all are presented in this paper. The study conclusion confirms the effectiveness of the proposal as a successful system for practical applications. 
Volume: 10
Issue: 3
Page: 1329-1338
Publish at: 2019-09-01

Potential of floating solar technology in Malaysia

10.11591/ijpeds.v10.i3.pp1638-1644
Mohd Alif Saifuddin Jamalludin , Firdaus Muhammad Sukki , Siti Hawa Abu Bakar , Fadzliana Ramlee , Abu Bakar Munir , Nurul Aini Bani , Mohd Nabil Muhtazaruddin , Abdullahi Abubakar Mas’ud , Jorge Alfredo Ardila Rey , Ahmad Syahrir Ayub , Nazmi Sellami
Solar energy is a natural source of energy and is tremendously abundant. The concept of floating solar is to fulfil and to support the existing energy supply in order to enhance the human life. The floating solar exploits the massive availability of ocean region and the severe unavailability of land. The main purpose of this paper is to evaluate the potential of floating solar to be deployed in coastal or infield in Malaysia. It was predicted that such system could generate around 14,530 MWh per annum in Malaysia. It can be concluded that floating solar could be one of the most important ocean structures in the future because it is reliable, flexible and has virtually low cost production comparing with other ocean structures
Volume: 10
Issue: 3
Page: 1638-1644
Publish at: 2019-09-01

Characteristics of lead-acid and nickel metal hydride batteries in uninterruptible power supply operation

10.11591/ijpeds.v10.i3.pp1520-1528
Nurshahirah Athirah Rohman , Nor Farahaida Abdul Rahman , Muhammad Ammirrul Atiqi Mohd Zainuri
Batteries are one of the main elements in Uninterruptable Power Supply (UPSs). To maintain good operation during power failure, UPSs must have adequate energy for their operation. It depends on the reliability and performance of batteries. Owing to low capital cost and wide availability, lead-acid batteries have been used extensively as the main energy source in UPSs. Nevertheless, as batteries technology grown, Nickel Metal Hydride (NiMH) batteries have offered more promising performance than lead-acid batteries; they are installed in various portable electronic devices. This paper provides an overview of the performance of lead-acid and NiMH batteries during the operation of a single-phase UPS. Their performances are studied based on 2 characteristics which are discharge curve and State of Charge (SOC). Based on those characteristics, both batteries have shown different performances. Simulation results have shown that the NiMH battery exhibits better discharge curve with higher voltage capacity and constant discharge current, and it is more reliable to obtain 12V at minimum percentage of SOC than the lead-acid battery.
Volume: 10
Issue: 3
Page: 1520-1528
Publish at: 2019-09-01

Determination of the level of pedagogical formation students’ academic locus of control

10.11591/ijere.v8i3.18166
Süleyman Can , Erdil Durukan
Academic locus of control has an important place in explaining students’ behaviors in educational settings. The purpose of the current study is to determine the level of the pedagogical formation students’ academic locus of control and to investigate whether this level varies depending on some variables. The study employed the survey model, one of the quantitative research methods. The universe of the study is comprised of the students enrolled at the pedagogical formation program initiated in the fall term of 2015-2016 academic year in Muğla Sıtkı Koçman University and the sampling consists of 397 pedagogical formation students. As the data collection tool, the academic locus of control scale was used in the current study. It was concluded that the pedagogical formation students’ level of academic locus of control is medium. It was also found that the students’ academic locus of control, internal locus of control and external locus of control do not vary significantly depending on gender and department; yet, vary significantly depending on age. Furthermore, the pedagogical formation students’ level of satisfaction was found to be significantly correlated with the external locus of control but not with the internal locus of control and academic locus of control.
Volume: 8
Issue: 3
Page: 531-536
Publish at: 2019-09-01

Theory and development of magnetic flux leakage sensor for flaws detection: A review

10.11591/ijaas.v8.i3.pp208-216
Nor Afandi Sharif , Rizauddin Ramli , Abdullah Zawawi Mohamed , Mohd Zaki Nuawi
This paper presents a review of state-of-art in the Magnetic Flux Leakage (MFL) sensor technology, which plays an important role in Nondestructive Testing (NDT) to detect crack and corrosion in ferromagnetic material. The demand of more reliable MFL tools and signal acquisition increase as it has a direct impact on structure integrity and can lead to be major catastrophic upon questionable signal analysis. This is because the size, cost, efficiency, and reliability of the extensive MFL system for NDT applications primarily depend on signal acquisition as a qualitative measure in producing a trustworthy analysis. Therefore, the selection of appropriate tools and methodology plays a major role in determining the comprehensive performance of the system. This paper also reviews an Artificial Neural Network (ANN) and Finite Element Method (FEM) in developing an optimum permeability standard on the test piece.  
Volume: 8
Issue: 3
Page: 208-216
Publish at: 2019-09-01

Production of strawberry using internet of things: a review

10.11591/ijeecs.v15.i3.pp1621-1628
Olakunle Elijah , Abdelmoneim A. bakhit , Tharek A. Rahman , Tien Han Chua , Siti Fatimah Ausordin , Rifhan Narrissa Razali
Strawberry is a widely consumed fruit and cultivated globally but predominantly in cooler temperate zones because of its wealth of nutrients, vitamins and minerals. However, there are several challenging factors faced in the growing of strawberry such as temperature, seasonal production and short shelf-life. To overcome some of these challenges, the application of greenhouse and internet of things (IoT) are being used. In this paper, a review of the application of IoT in the greenhouse production of strawberry is presented. This includes a survey of existing literature on production of strawberry, types, method of growing strawberry and the application of IoT. The benefits and challenges of IoT in greenhouse strawberry production are discussed. The review highlights the need for use of low power wide area communication technology in the application of IoT in greenhouse strawberry production especially in tropical regions like Malaysia.
Volume: 15
Issue: 3
Page: 1621-1628
Publish at: 2019-09-01

Intelligent risk management framework

10.11591/ijai.v8.i3.pp278-285
Wissam Abbass , Zineb Bakraouy , Amine Baina , Mostafa Bellafkih
The Internet of Things (IoT) is rapidly increasing and enhancing today’s world by introducing a large set of interconnected devices. Several beneficial services are produced by these devices as for area monitoring and process control. However, IoT security is still a major problem. In fact, IoT’ security beggings largely whith an effective Risk Management process. However, the essense of this process is to acquire a risk inventory cibling the IoT devices. Nevertheless, it is quite difficult to obtaining this latter which significantly adds complication issues to the Risk Management. Without the ability of holisticly identify the IoT critical devices, inaccurate Risk Management is achieved which leads unfortunately to novel risk exposures. Traditional Riskbased approaches fails drastically at apprending IoT’ potential attacks. The dynamic structure, the heteregouns nature of devices, the various security objectives and infrastructure pervasiveness are key factors impacting the overall perfomance. Thus, a holistic Risk Management witihin the IoT is indispensable. Accordingly, we propose an intelligent Risk Management framework using Mobile Agents in order to deliver preventive and responsive assessment.
Volume: 8
Issue: 3
Page: 278-285
Publish at: 2019-09-01

Performance analysis of security framework for software defined network architectures

10.11591/ijaas.v8.i3.pp232-242
K. A. Varun Kumar , D. Arivudainambi
Software defined data centers (SDDC) and software defined networking (SDN) are two emerging areas in the field of cloud data centers. SDN based centrally controlled services takes a global view of the entire cloud infrastructure between SDDC and SDN, whereas Network Function Virtualization (NFV) is widely used for providing virtual networking between host and Internet Service Providers (ISP’s). Some Application as a Service used in NFV data centers have a wide range in building security services like Virtual firewalls, Intrusion Detection System (IDS), load balancing, bandwidth allocation and management. In this paper, a novel security framework is proposed to combat SDDC and SDN based on NFV security features. The proposed framework consists of a Virtual firewall and an efficient bandwidth manager to handle multiple heterogeneous application requests from different ISPs. Real time data were taken from an experiment for a week and A new simulation based proof of concept is admitted in this paper for validation of the proposed framework which was deployed in real time SDNs using Mininet and POX controller.
Volume: 8
Issue: 3
Page: 232-242
Publish at: 2019-09-01

A novel multilevel inverter with reduced switch count

10.11591/ijaas.v8.i3.pp171-175
C. R. Balamurugan , K. Vijayalakshmi
This paper presents a multilevel inverter with reduced number of switches to produce a five level output. PWM technique (pulse width modulation) has been used to trigger the MLI switches. It gives reduced harmonic. This proposed topology is connected with R-load and RL-load. Four signals are generated for switching on the multilevel inverter (MLI) switches by comparing four level triangular waveform with sine wave. In this proposed topology two switches are reduced from the conventional Cascaded five level inverter. The simulation analysis has been done by MATLAB/SIMULINK.
Volume: 8
Issue: 3
Page: 171-175
Publish at: 2019-09-01

Design of new power generating circuit for passive UHF RFID tag

10.11591/ijpeds.v10.i3.pp1389-1397
Abdelali El Boutahiri , Mounir Ouremchi , Ahmed Rahali , Mustapha El Alaoui , Fouad Farah , Karim El khadiri , Ahmed Tahiri , Hassan Qjidaa
In this paper, we propose a new power generating circuit for passive ultra high frequency (UHF) RFID tag. The proposed power generating circuit consists of a RF limiter, a high power efficiency and high sensitivity full wave radio frequency (RF) wave rectifier and a low-power regulator with NMOS diodes work like a DC-limiter. The design method proposed in this study use one low drop out (LDO) regulator to provide tow output stable supply voltages vdd1 of value 1V for the digital section supply, and vdd2 of value 0.5V for the analog front-end section power supply. The proposed power generating circuit is optimized in terms of power consumption of RFID tag system to have a high operating range under conditions of 50 Ohm antenna, -24 dBm input RF power, 900MHz and 1 M DC, with low power dissipation and 29.15% large power conversion efficiency. The power generating circuit was designed, simulated and layouted in Cadence using TSMC 180 nm technology. The final design occupies approximately 0.25mm2.
Volume: 10
Issue: 3
Page: 1389-1397
Publish at: 2019-09-01

Design and implementation of an indoor solar emulator based low-cost autonomous data logger for PV system monitoring

10.11591/ijpeds.v10.i3.pp1645-1654
Oday A. Ahmed , Hussain K Sayed , Kanaan A Jalal , Dhari Y. Mahmood , Waleed H. Habeeb
With the growing interest in renewable energy resources, a various number of studies and development for photovoltaic (PV) systems have investigated to satisfy global needs in energy. The larger interest in PV resources has increased request for suitable apparatus with which to test PV systems. This paper deals with the design of an indoor PV source emulator using an actual PV panel to facilitate PV system testing under real environment conditions. A low-cost Arduino Mega256 microcontroller-based data acquisition system (DAQ) approach has been developed to collect the data in term of voltage, power and current based on different levels of light intensity and temperature as well as under partial shading conditions. Hence, the proposed system is not just a solar emulator but it’s a complete solar emulator-DAQ system that can emulate the sunlight and monitor the PV parameters and then collect and store the data for further research investigation. The proposed monitoring system provides real time update of the solar panel characteristics at any time in the year without relying on the weather changes. This data acquisition system will be of superior interest for undergraduate and graduate students as it is both open-source and flexible. The details design of the proposed PV solar emulator and data logger and its implementation are described.
Volume: 10
Issue: 3
Page: 1645-1654
Publish at: 2019-09-01
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