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29,939 Article Results

Control of inventory system with random demand and product damage during delivery using the linear quadratic gaussian method

10.11591/ijeecs.v22.i3.pp1748-1753
Sutrisno Sutrisno , Widowati Widowati , R. Heru Tjahjana
This study formulates a dynamical system for the control of a single product inventory system in accordance with the random value of demand and the percentage of damaged product during the delivery process. The formulated model has the form of a linear state-space system comprising of two disturbances, which represents the random value of demand and the percentage of the damaged product during delivery. The optimal value of the product amount ordered to the supplier is properly calculated by using the linear quadratic gaussian (LQG) method. The controller is used by the manager to make inventory level decisions under the uncertainty of demand and damaged items during the product delivery process. The result showed that the optimal product order for each review time was achieved, and the inventory level was used to obtain the right set point properly. Moreover, based on comparison with other research results, the proposed model was well performed.
Volume: 22
Issue: 3
Page: 1748-1753
Publish at: 2021-06-01

Comparison study of lead-acid and lithium-ıon batteries for solar photovoltaic applications

10.11591/ijpeds.v12.i2.pp1069-1082
B. V. Rajanna , Malligunta Kiran Kumar
The battery energy storage systems are very essential for maintaining constant power supply when using solar photovoltaic systems for power generation. The viability and ability of battery energy storage systems are assessed based on battery usage in Solar Photovoltaic utility grid-connected systems. The power supply quality and reliability are improved by utilizing battery energy storage technologies in conjunction with solar photovoltaic systems. This paper presents a comparative analysis of Lead-Acid Storage battery and Lithium-ion battery banks connected to a utility grid. The battery mathematical model simulation study gives their performance characteristics of these batteries under grid-connected loads. Cost-benefit analysis of battery usage for determining the best battery suitable for solar photovoltaic system applications is also presented in this paper.
Volume: 12
Issue: 2
Page: 1069-1082
Publish at: 2021-06-01

PID speed control of DC motor using meta-heuristic algorithms

10.11591/ijpeds.v12.i2.pp822-831
Bishwa Babu Acharya , Sandeep Dhakal , Aayush Bhattarai , Nawraj Bhattarai
This paper presents archimedes optimization algorithm(AOA) and dispersive flies optimization(DFO) to optimally tune gain parameters of PID control scheme in order to regulate DC motor’s speed. These suggested techniques tune the controller by the minimization of the fitness function represented by the integral of time multiplied by absolute error (ITAE). The modelling and simulation are carried out in MATLAB/Simulink. The transient response of unit step input obtained from AOA-PID-ITAE andDFO-PID-ITAE controllers were compared to those obtained from Ziegler-Nichols (ZN) method and particle swarm optimization(PSO). The results indicate that AOA-PID-ITAE and DFO-PID-ITAE are more efficient than ZN method and PSO in reducing rise time and settling time. Likewise, DFOconverge faster to the optimal solution with lower overshoot than AOA and PSO.
Volume: 12
Issue: 2
Page: 822-831
Publish at: 2021-06-01

Healthy family index assessment through community-based health information system approach

10.11591/ijphs.v10i2.20751
Rico Kurniawan , Ryza Jazid Baharuddin Nur , Sayekti Yuliyanti , Dion Zein Nuridzin , Neng Tine Kartinah
The healthy Indonesia program with a family approach (PIS-PK) has not been implemented optimally. There are several obstacles and challenges in this program’s implementation, e.g., human resources. A community-based health information system (CBHIS) is a strategic approach to obtain data and information at the population level by directly involving cadres and the community. A project with the CBHIS approach was implemented in Kasemen Village, Serang, Banten Province, Indonesia to support the PIS-PK program. The study aimed to determine the population’s health status according to the healthy family index through the CBHIS approach. The data of healthy family indicators in the village were collected by cadres using a mHealth application. Overall, 1316 households consisting of 5312 residents were registered. The analysis results of the healthy family index showed that most families in the Kasemen subdistrict were pre-healthy (64.2%), almost one third were unhealthy (27.8%) and only a small proportion were healthy (8%). Assessing the healthy family index through the CBHIS approach can support decision-making at the community level, thereby determining the magnitude of family health problems and providing appropriate interventions to improve community health status. Well-trained cadres equipped with better electronic data collection tools may be an alternative to community-based data collection.
Volume: 10
Issue: 2
Page: 394-400
Publish at: 2021-06-01

Prediction of student’s performance through educational data mining techniques

10.11591/ijeecs.v22.i3.pp1708-1715
Nibras Z. Salih , Walaa Khalaf
Many educators have worried about the failures of students through academic education. Thus, a variety of predictions have been applied to general information including culture, social, and economic information which wasn’t related to student performance. We have gathered an actual dataset from three years of academic stages of Mustansiriyah University in Iraq. The dataset consists of academic information without any socioeconomic data, it includes forty-four undergraduate students with thirteen attributes. We have proposed a model that explains the correlation between two main subjects which are, mathematics, and control systems. This study aimed to identify student failure of the control systems subject in the third year depending on the academic features of the mathematics subjects in the first and second years. Three algorithms were applied to the dataset including Naïve Bayes, support vector machine, and multilayer perceptron. Since the dataset was imbalanced, this leads to appear overfitting problem in the results so the synthetic minority oversampling technique was utilized to solve this problem. Our results show that the support vector machine algorithm proves an efficient classification after applied synthetic minority oversampling technique. The accuracy of the classifiers was measured from the confusion matrix using the Waikato environment for knowledge analysis (WEKA) tool and its related metrics.
Volume: 22
Issue: 3
Page: 1708-1715
Publish at: 2021-06-01

An approach of adaptive notch filtering design for electrocardiogram noise cancellation

10.11591/ijeecs.v22.i3.pp1303-1311
Rahmad Hidayat , Ninik Sri Lestari , Herawati Herawati , Givy Devira Ramady , Sudarmanto Sudarmanto , Farhan Adani
An electrocardiogram (ECG) is a means of measuring and monitoring important signals from heart activity. One of the major biomedical signal issues such as ECG is the issue of separating the desired signal from noise or interference. Different kinds of digital filters are used to distinguish the signal components from the unwanted frequency range to the ECG signal. To address the question of noise to the ECG signal, in this paper the digital notch filter IIR 47 Hz is designed and simulated to demonstrate the elimination of 47 Hz noise to obtain an accurate ECG signal. The full architecture of the structure and coefficient of the IIR notch filter was carried out using the FDA Tool. Then the model is finished with the help of Simulink and the MATLAB script was to filter out the 47 Hz noise from the signal of ECG. For this purpose, the normalized least mean square (NLMS) algorithm was used. The results indicate that before being filtered and after being filtered it clearly shows the elimination of 47 Hz noise in the signal of the ECG. These results also show the accuracy of the design technique and provide an easy model to filter out noise in the ECG signal.
Volume: 22
Issue: 3
Page: 1303-1311
Publish at: 2021-06-01

A neuro-fuzzy approach for tracking maximum power point of photovoltaic solar system

10.11591/ijpeds.v12.i2.pp1252-1264
Aouatif Ibnelouad , Abdeljalil Elkari , Hassan Ayad , Mostafa Mjahed
This work presents a hybrid soft-computing methodology approach for intelligent maximum power point tracking (MPPT) techniques of a photovoltaic (PV) system under any expected operating conditions using artificial neural network-fuzzy (neuro-fuzzy). The proposed technique predicts the calculation of the duty cycle ensuring optimal power transfer between the PV generator and the load. The neuro-fuzzy hybrid method combines artificial neural network (ANN) to direct the controller to the region where the MPP is located with its reference voltage estimator and its block of neural order. After that, the fuzzy logic controller (FLC) with rule inference begins to establish the photovoltaic solar system at the MPP. The obtained simulation results using MATLAB/simulink software for the proposed approach compared to ANN and the perturb and observe (P&O), proved that neuro-fuzzy approach fulfilled to extract the optimum power with pertinence, efficiency and precision
Volume: 12
Issue: 2
Page: 1252-1264
Publish at: 2021-06-01

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

10.11591/ijeecs.v22.i3.pp1320-1326
Nastaran Reza Nazar Zadeh , Ameralden H. Abdulwakil , Mike Joshua R. Amar , Bernadette Durante , Christian Vincent Nico Reblando Santos
With the growth of technology and massive city development, firefighting services have become more challenging to cope with a smart-city concept. One of the challenges that firefighters are facing is reaching the top floors of high-raised buildings. Firefighters need heavy and oversized pieces of equipment to reach top floors, which they sometimes fail to deliver on time due to big cities' traffic. The proposed solution to this global problem is using firefighting unmanned aerial vehicle (UAV) to reach the top floors fast and efficiently; It can also provide a better vision for the firefighting team and slow down the spread of fire using fire extinguishing ball. In this paper, a noble design for a Firefighting UAV with shooting and dropping mechanism of fire extinguishing ball has been developed and successfully tested. A Camera with night vision has been integrated into the UAV to provide a helpful aid for firefighters. The UAV has a controller with a 2.4 GHz radio frequency (RF) signal and video surveillance to regulate the UAV's movement. The controller is also for activating the shooting and dropping mechanism. The researchers examined the behavior of the drone in terms of its stability and functionality.
Volume: 22
Issue: 3
Page: 1320-1326
Publish at: 2021-06-01

Securing audio transmission based on encoding and steganography

10.11591/ijeecs.v22.i3.pp1777-1786
Enas Wahab Abood , Zaid Ameen Abduljabbar , Mustafa A. Al Sibahee , Mohammed Abdulridha Hussain , Zaid Alaa Hussien
One of the things that must be considered when establishing a data exchange connection is to make that communication confidential and hide the file’s features when the snoopers intercept it. In this work, transformation (encoding) and steganography techniques are invested to produce an efficient system to secure communication for an audio signal by producing an efficient method to transform the signal into a red–green–blue (RGB) image. Subsequently, this image is hidden in a cover audio file by using the least significant bit (LSB) method in the spatial and transform domains using discrete wavelet transform. The audio files of the message and the cover are in *.wav format. The experimental results showed the success of the transformation in concealing audio secret messages, as well the remarkability of the stego signal quality in both techniques. A peak signal-to-noise ratio peak signal-to-noise ratio (PSNR) scored (20-26) dB with wavelet and (81-112) dB with LSB for cover file size 4.96 MB and structural similarity index metric structural similarity index metric (SSIM) has been used to measure the signal quality which gave 1 with LSB while wavelet was (0.9-1), which is satisfactory in all experimented signals with low time consumption. This work also used these metrics to compare the implementation of LSB and WAV.
Volume: 22
Issue: 3
Page: 1777-1786
Publish at: 2021-06-01

Machine learning based multi class fault diagnosis tool for voltage source inverter driven induction motor

10.11591/ijpeds.v12.i2.pp1205-1215
Jyothi R , Tejas Holla , Uma Rao K , Jayapal R
AC drives are employed in process industries for varying applications resulting in a wide range of ratings. The entire process industry has seen a paradigm shift from manual to automated systems. The major factor contributing to this is the advanced power electronics technology enabling power electronic drives for smooth control of electric motors. Induction motors are most commonly used in industries. Faults in the power electronic circuits may occur periodically. These faults often go unnoticed as they rarely cause a complete shutdown and the fault levels may not be large enough to lead to a breakdown of the drive. An early detection of these faults is required to prevent their escalation into major faults. The diagnostic tool for detection of faults requires real time monitoring of the entire drive. In this work, detailed investigation of different faults that can occur in the power electronic circuit of an industrial drive is carried out. Analysis and impact of faults on the performance of the induction motor is presented. A real time monitoring platform is proposed to detect and classify the fault accurately using machine learning. A diagnostic tool also is developed to display the severity and location of the fault to the operator to take corrective measures.
Volume: 12
Issue: 2
Page: 1205-1215
Publish at: 2021-06-01

A nine-switch nine-level converter new topology with optimal modulation control

10.11591/ijpeds.v12.i2.pp932-942
Radouane Majdoul , Abelwahed Touati , Abderrahmane Ouchatti , Abderrahim Taouni , Elhassane Abdelmounim
Multilevel power converters are becoming increasingly used in several sectors: energy, grid-tie renewable energy systems, High voltage direct current (HVDC) power transmission, and a multitude of industrial applications. However, the multilevel converters consist of several drives and a high number of power switches, which leads to a considerable cost and an increased size of the device. Thus, a novel topology of a multilevel bidirectional inverter using a reduced number of semiconductor power components is proposed in this paper. Without any diode clamped or flying capacitor, only nine switches are used to generate nine voltage levels in this new topology. The proposed multilevel converter is compared with the conventional structures in terms of cost, the number of active power switches, clamped diodes, flying capacitors, DC floating capacitors, and the number of DC voltage sources. This comparative analysis shows that the proposed topology is suitable for many applications. For optimum control of this multilevel voltage inverter and to reduce switching losses in power semiconductors, a hybrid modulation technique based on fundamental frequency modulation and multi-carrier-based sinusoidal pulse-width modulation schemes is performed. The effectiveness of the proposed multilevel power converter is verified by simulation results.
Volume: 12
Issue: 2
Page: 932-942
Publish at: 2021-06-01

Minimal switching of multiple input multilevel output DC-DC converter

10.11591/ijpeds.v12.i2.pp968-974
Amer A. Chlaihawi , Ameen Al-Modaffer , Hur Jedi
This paper proposes a minimal switching multiple input multilevel output (MS-MIMLO) DC-DC converter. Minimizing the cost of operation is an utmost priority of any electric circuit design. Thus, reduction number of switches that control and manage the operation of feeding power into the MIMLO DC-DC convertors is presented. The proposed MS-MIMLO DC-DC converter exerts many advantages, include high voltage transfer ratio with a small size inductor, reduced power losses and low voltage stress across the semiconductor devices. Beside the highly conversion ratio and efficiency, the characteristics of the proposed converter have a simple configuration with low number of components as well. The MATLAB/Simulink software was implemented to simulate the proposed topology in order to verify the performance of the MS-MIMLO DC-DC converter. The result of simulations demonstrated the benefits of reducing the number of switches without affecting the operation and performance of the MIMLO DC-DC converter circuit.
Volume: 12
Issue: 2
Page: 968-974
Publish at: 2021-06-01

Teacher evaluation by different internal evaluators: Head of departments, teachers themselves, peers and students

10.11591/ijere.v10i2.20838
Talal S. Almutairi , Nawaf S. Shraid
This study analyzed teacher evaluation in school, through involving different internal evaluators, in order to determine the extent to which they evaluate teacher performance accurately and objectively. Evaluation survey instruments are used in this study, which are designed based the criteria of existing teacher evaluation system in the context, along with other criteria for evaluating teachers. The sample of this study included teachers, heads of departments and students from high schools in four different districts in Kuwait, received responses as 100 from heads of department, 100 from teachers ‘self-evaluation’, 100 from peer and 912 from students. The findings show that there is no significant difference between teachers’ self-evaluation and heads of departments’ evaluation. On the other hand, this study finds that subjectivism and competition may have an effect on peer evaluation and students may over-evaluate their teachers’ performance as attempt to draw a better picture of their teachers in front of evaluators.
Volume: 10
Issue: 2
Page: 588-596
Publish at: 2021-06-01

Implementation of reduced induction machine fuzzy logic control based on dSPACE-1104 R&D controller board

10.11591/ijpeds.v12.i2.pp1015-1023
Mohamed Moutchou , Atman Jbari , Younes Abouelmahjoub
In this paper, we present our contribution in Induction Machine control field. The control we designed is based on fuzzy logic theory, this choice is motivated by the fact that this technique of control is suitable for the control of systems characterized by its parameters uncertainties and variations. The proposed control is optimized by using a genetic algorithm for fuzzy logic controller (FLC) gains tuning and by a good choice of calculation techniques used in FLC. Three versions of IM fuzzy logic control were validated by simulation. After that in order to be able to experimentally implement this control on dSPACE-1104, we proposed an optimized and reduced structure of the control. The experimental results proof the effectiveness and the satisfied performance of the proposed IM fuzzy control.
Volume: 12
Issue: 2
Page: 1015-1023
Publish at: 2021-06-01

An internet of things based smart waste system

10.11591/ijece.v11i3.pp2577-2585
Ali M. Jasim , H. H. Qasim , Ethar Habeeb Jasem , Raed Hasan Saihood
The importance of preserving the environment from waste and its pollution lies in many matters such as preserving people health, enhancing the aesthetic character of cites, attracting tourists, and protecting society from environmental disasters. The environmental wastes are the main dilemmas in our daily life and in the world at large. With the existence of modern technology, development and the field of the internet, many solutions have been undertaken to get rid these dilemmas. In this paper, a smart waste system based on internet of things (IoT) technique has been proposed using ESP-32 Wi-Fi microcontroller. This system can be adopted to avoid the accumulation of waste in the streets that distort the face of civilization, also to reduce the burden of workers and limit the workforce. The system is based on a multiple sensors in the garbage baskets, as they measure the waste level by using ultrasonic sensor, the moisture percent and temperature degree using DHT-22 sensor. The sensors data are processed by ESP32 microcontroller and displayed to both LCD screen using I2C protocol and mobile application using IoT cloud. System baskets automatically open their covers when the person approaches with a distance less or equal to 30 cm to throw garbage. Any approval waste basket is automatically discharged through an underground dump system using conveyor belt if the basket is full by 80% garbage and/or the basket moisture reaches to 40%.
Volume: 11
Issue: 3
Page: 2577-2585
Publish at: 2021-06-01
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