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An enhanced framework for solving cold start problem in movie recommendation systems

10.11591/ijeecs.v24.i3.pp1628-1637
Salma Adel Elzeheiry , N. E. Mekky , A. Atwan , Noha A. Hikal
Recommendation systems (RSs) are used to obtain advice regarding decision-making. RSs have the shortcoming that a system cannot draw inferences for users or items regarding which it has not yet gathered sufficient information. This issue is known as the cold start issue. Aiming to alleviate the user’s cold start issue, the proposed recommendation algorithm combined tag data and logistic regression classification to predict the probability of the movies for a new user. First using alternating least square to extract product feature, and then diminish the feature vector by combining principal component analysis with logistic regression to predict the probability of genres of the movies. Finally, combining the most relevant tags based on similarity score with probability and find top N movies with high scores to the user. The proposed model is assessed using the root mean square error (RMSE), the mean absolute error (MAE), recall@N and precision@N and it is applied to 1M, 10M and 20M MovieLens datasets, resulting in an accuracy of 0.8806, 0.8791 and 0.8739.
Volume: 24
Issue: 3
Page: 1628-1637
Publish at: 2021-12-01

Designing and performance investigation of permanent magnet motor prototype for UTV electric drive train application

10.11591/ijpeds.v12.i4.pp2018-2029
Muhammad Nur Yuniarto , Yoga Uta Nugraha , I Made Yulistya Negara , Dimas Anton Asfani , Indra Sidharta
The dynamic design specifications of a vehicle are used to define the required torque and speed of a permanent magnet motor. This is due to providing clear instructions on the intent, performance, and construction of a vehicle. Therefore, this study aims to determine an engineering design and prototyping process of a Permanent Magnet Motor, to be used as an electric powertrain in a Utility Vehicle. Based on being used in severe road condition (steep inclination and off road), the vehicle should be able to handle a 45° inclination with total payload of approximately 250 kg. Using a rear-wheel-drive traction, its weight should also be less than 1000 kg. Furthermore, the motor should be operated at a maximum battery voltage of 100 V. According to the requirements, the electric powertrain should further have the ability to deliver a torque of approximately 1600 Nm on both rear wheels. Using a finite element method to simulate performances, transmission was coupled to the motor in providing the required torque. In addition, the motor prototype was subsequently manufactured and tested using a dynamometer. The results showed that the motor produced 19.6 kW, 5600 RPM, and 75 Nm at 96 V. Therefore, the design and prototyping process of the motor satisfied all the required specification.
Volume: 12
Issue: 4
Page: 2018-2029
Publish at: 2021-12-01

Emotion recognition from syllabic units using k-nearest-neighbor classification and energy distribution

10.11591/ijece.v11i6.pp5438-5449
Abdellah Agrima , Ilham Mounir , Abdelmajid Farchi , Laila Elmaazouzi , Badia Mounir
In this article, we present an automatic technique for recognizing emotional states from speech signals. The main focus of this paper is to present an efficient and reduced set of acoustic features that allows us to recognize the four basic human emotions (anger, sadness, joy, and neutral). The proposed features vector is composed by twenty-eight measurements corresponding to standard acoustic features such as formants, fundamental frequency (obtained by Praat software) as well as introducing new features based on the calculation of the energies in some specific frequency bands and their distributions (thanks to MATLAB codes). The extracted measurements are obtained from syllabic units’ consonant/vowel (CV) derived from Moroccan Arabic dialect emotional database (MADED) corpus. Thereafter, the data which has been collected is then trained by a k-nearest-neighbor (KNN) classifier to perform the automated recognition phase. The results reach 64.65% in the multi-class classification and 94.95% for classification between positive and negative emotions.
Volume: 11
Issue: 6
Page: 5438-5449
Publish at: 2021-12-01

Design of new structure of multilevel inverter based on modified absolute sinusoidal PWM technique

10.11591/ijpeds.v12.i4.pp2314-2321
Asef A. Saleh , Rakan Khalil Antar , Harith Ahmed Al-Badrani
The advantage of multilevel inverters is to produce high output voltage values with distortion as minimum as possible. To reduce total harmonic distortion (THD) and get an output voltage with different step levels using less power electronics switching devices, 15-level inverter is designed in this paper. Single-phase 11-switches with zero-level (ZL) and none-zero-level (NZL) inverter based on modified absolute sinusoidal pulse width modulation (MASPWM) technique is designed, modelled and built by MATLAB/Simulink. Simulation results explained that, multilevel inverter with NZL gives distortion percent less than that with ZL voltage. The THD of the inverter output voltage and current of ZL are 4% and 1%, while with NZL is 3.6% and 0.84%, respectively. These results explain the effectiveness of the suggested power circuit and MASPWM controller to get the required voltage with low THD.
Volume: 12
Issue: 4
Page: 2314-2321
Publish at: 2021-12-01

Trainable generator of educational content

10.11591/ijaas.v10.i4.pp363-372
Vladimir Rotkin
As the main problem of the research, the possibility of creating a universal educational platform that combines the possibilities of an online generation of educational content with the interface of the training process itself was considered. The methodology of the educational platform has been developed, in which the mass generation of content is carried out at random, based on simulation models of educational objects. A matrix interface is used, which allows performing custom operations by entering a sequence of typical operators. The system forms a reference base of operators, replenishing it from user solutions, which makes it possible to train and improve the system in order to provide methodological support to student users. An active demo layout of an educational content generator was created and tested, using the example of a specific problem from school mathematics. All methodological options function in the layout. There are three interface options: administrative, training and control. It was concluded that the approach based on the simulation of educational objects makes it possible to create a unified algorithmic platform that combines the functions of content generation with educational training. The system contains a unique option to teach yourself based on its interaction with students.
Volume: 10
Issue: 4
Page: 363-372
Publish at: 2021-12-01

Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning

10.11591/ijece.v11i6.pp5549-5557
Much Aziz Muslim , Yosza Dasril
Company bankruptcy is often a very big problem for companies. The impact of bankruptcy can cause losses to elements of the company such as owners, investors, employees, and consumers. One way to prevent bankruptcy is to predict the possibility of bankruptcy based on the company's financial data. Therefore, this study aims to find the best predictive model or method to predict company bankruptcy using the dataset from Polish companies bankruptcy. The prediction analysis process uses the best feature selection and ensemble learning. The best feature selection is selected using feature importance to XGBoost with a weight value filter of 10. The ensemble learning method used is stacking. Stacking is composed of the base model and meta learner. The base model consists of K-nearest neighbor, decision tree, SVM, and random forest, while the meta learner used is LightGBM. The stacking model accuracy results can outperform the base model accuracy with an accuracy rate of 97%.
Volume: 11
Issue: 6
Page: 5549-5557
Publish at: 2021-12-01

Artificial intelligent techniques based on direct torque control of induction machines

10.11591/ijpeds.v12.i4.pp2070-2082
Mona Magdy , Salama Abu-Zaid , Mahmoud A. Elwany
The direct torque control (DTC) system, which is based on induction machine drive is a developed and simple control method. It allows high dynamic performance with very simple hysteresis control scheme; However, its disadvantages are high current, torque, and flux ripple. In this paper, DTC of induction machine drive has been improved by using the applications of artificial intelligence (AI) approaches to reduce the current, torque, and flux ripples and also get better performance of the machines. At the conclusion of this study, the outcomes of traditional DTC and artificial intelligent methods are compared. By the program MATLAB/SIMULINK, the modeling and simulation results of the DTC system for induction machine (IM) have been proposed.
Volume: 12
Issue: 4
Page: 2070-2082
Publish at: 2021-12-01

Finding the best tour for travelling salesman problem using artificial ecosystem optimization

10.11591/ijece.v11i6.pp5497-5504
Quyen Thi Nguyen , Minh-Phung Bui
This paper presents a new method based on the artificial ecosystem optimization (AEO) algorithm for finding the shortest tour of the travelling salesman problem (TSP). Wherein, AEO is a newly developed algorithm based on the idea of the energy flow of living organisms in the ecosystem consisting of production, consumption and decomposition mechanisms. In order to improve the efficiency of the AEO for the TSP problem, the 2-opt movement technique is equipped to enhance the quality of the solutions created by the AEO. The effectiveness of AEO for the TSP problem has been verified on four TSP instances consisting of the 14, 30, 48 and 52 cities. Based on the calculated results and the compared results with the previous methods, the proposed AEO method is one of the effective approaches for solving the TSP problem.
Volume: 11
Issue: 6
Page: 5497-5504
Publish at: 2021-12-01

Electronic health record to predict a heart attack used data mining with Naïve Bayes method

10.11591/ijict.v10i3.pp182-187
Johanes Fernandes Andry , Fabio Mangatas Silaen , Hendy Tannady , Kevin Hadi Saputra
A heart attack is a medical emergency. A heart attack usually occurs when a blood clot blocks the flow of blood to the heart. Cardiovascular disease is a variety of diseases that attack the body's cardiovascular system including the heart and blood vessels. Cardiovascular diseases (CVD) include angina, arrhythmia, heart attack, heart failure, atherosclerosis, stroke, and so on. To resolving (CVD) is to evaluate large scores of datasets, to compare for any information that can be used to forecast, to take care of organize. The method used Naïve Bayes classification because that method can determine target which can be used to answer some questions like whether the patient has the potential for heart disease. After data analyst, authors can use data to electronic health records (EHR).
Volume: 10
Issue: 3
Page: 182-187
Publish at: 2021-12-01

Simplified cascade multiphase DC-DC buck power converter for low voltage large current applications: part II --- output current controller

10.11591/ijpeds.v12.i4.pp2273-2283
Nungky Prameswari , Anand Bannet Ganesen , Falah Kharisma Nuraziz , Jihad Furqani , Arwindra Rizqiawan , Pekik Argo Dahono
This paper proposes a control method for new simplified cascade multiphase direct current-direct current (DC-DC) buck power converters used for low-voltage large-current applications such as cathodic protection. To control the proposed converter, a proportional-integral (PI) controller is used to regulate the output current of the converter. The control scheme analysis is carried out by linearizing the small-signal model of the proposed converter to form the output current transfer functions. This transfer function will be analyzed by using phase and gain margin approach to obtain the control parameters (Kp, Ki, and Ti). Simulation and experiment results are included to show the validity of the proposed concept.
Volume: 12
Issue: 4
Page: 2273-2283
Publish at: 2021-12-01

Enhancement of gain using a multilayer superstrate metasurface cell array with a microstrip patch antenna

10.11591/ijeecs.v24.i3.pp1564-1570
ِAli Khalid Jassim , Malik Jasim Farhan , Fadia Noori Hummadi Al-Nuaimy
This research presents a new idea in the use of wireless communication antennas: it uses a multi-layered array of cells called a superstrate multi-layer metasurface (MTM) and is placed in front of a patch of microstrip antenna to absorb surface waves and prevent them from passing through the insulating material, which reduces the permeability of the insulator and thus improves the Antenna properties, The proposed hexagonal cell with resonators is placed on the flame resistant (FR4) substrate, with a relative permittivity of 4.3 and an area (14×14) mm2 . It was tested when the metasurface layer is 4 mm in front of the patch and the distance between the metasurface layers is 2 mm. The optimum distances were calculated by the sweep parameter, and the improved antenna gain and the input reflection coefficient were obtained together. (S11) has been improved from -31.217 to -38.338 dB and, the gain from 3.28 dB to 6.554 dB.
Volume: 24
Issue: 3
Page: 1564-1570
Publish at: 2021-12-01

Design and analysis of multiple read port techniques using bank division with XOR method for multi-ported-memory on FPGA platform

10.11591/ijece.v11i6.pp4785-4793
Druva Kumar S. , Roopa M.
The multiple read and write operations are performed simultaneously by multi-ported memories and are used in advanced digital design applications on reprogrammable field-programmable gate arrays (FPGAs) to achieve higher bandwidth. The Memory modules are configured by block RAM (BRAMs), which utilizes more area and power on FPGA. In this manuscript, the techniques to increase the read ports for multi-ported memory modules are designed using the bank division with XOR (BDX) approach. The read port techniques like two read-one write (2R1W) memory, hybrid mode approach either 2R1W or 4R memory, and hierarchical BDX (HBDX) Approach using 2R1W/4R memory are designed on FPGA platform. The Proposed work utilizes only slices and look-up table (LUT's) rather than BRAMs while designing the memory modules on FPGA, which reduces the computational complexity and improves the system performance.  The experimental results are analyzed on Artix-7 FPGA. The performance parameters like slices, LUT utilization, maximum frequency (Fmax), and hardware efficiency are analyzed by concerning different memory depths. The 4R1W memory design using the HBDX approach utilizes 4% slices and works at 449.697 MHz operating frequency on Artix-7 FPGA. The proposed work provides a better platform to choose the proper read port technique to design an efficient modular multiport memory architecture.
Volume: 11
Issue: 6
Page: 4785-4793
Publish at: 2021-12-01

Multi-carrier switching strategy for high-bandwidth potential balancing control of multilevel inverters

10.11591/ijpeds.v12.i4.pp2384-2392
Zuraidi Md Tahir , Auzani Jidin , Mohd Luqman Mohd Jamil
This paper confers on investigation of a direct torque control (DTC) of induction motor drive by 3 level neutral point clamp (NPC) multilevel inverter. The imbalance problem may deteriorate the electric drive performances which might cause a short circuit condition. Various balancing control strategies were proposed, however, most of them employed complex space vector modulation (SVM) and hysteresis-based controller that generates variable switching frequencies. The proposed method will offer a reliable balancing control strategy with a constant switching frequency, and moreover, it will provide excellent electric drive performances. This research proposed a new multi carrier switching modulation strategy that establish a high-band-width control for neutral point potential in the NPC inverter. Potency of the proposed high-bandwidth potential balancing strategy is validated through the MATLAB/SIMULINK environment.
Volume: 12
Issue: 4
Page: 2384-2392
Publish at: 2021-12-01

Distributed reflection denial of service attack: A critical review

10.11591/ijece.v11i6.pp5327-5341
Riyadh Rahef Nuiaa , Selvakumar Manickam , Ali Hakem Alsaeedi
As the world becomes increasingly connected and the number of users grows exponentially and “things” go online, the prospect of cyberspace becoming a significant target for cybercriminals is a reality. Any host or device that is exposed on the internet is a prime target for cyberattacks. A denial-of-service (DoS) attack is accountable for the majority of these cyberattacks. Although various solutions have been proposed by researchers to mitigate this issue, cybercriminals always adapt their attack approach to circumvent countermeasures. One of the modified DoS attacks is known as distributed reflection denial-of-service attack (DRDoS). This type of attack is considered to be a more severe variant of the DoS attack and can be conducted in transmission control protocol (TCP) and user datagram protocol (UDP). However, this attack is not effective in the TCP protocol due to the three-way handshake approach that prevents this type of attack from passing through the network layer to the upper layers in the network stack. On the other hand, UDP is a connectionless protocol, so most of these DRDoS attacks pass through UDP. This study aims to examine and identify the differences between TCP-based and UDP-based DRDoS attacks.
Volume: 11
Issue: 6
Page: 5327-5341
Publish at: 2021-12-01

Fast detection technique for voltage unbalance in three-phase power system

10.11591/ijpeds.v12.i4.pp2230-2242
Ibrahim I. Al-Naimi , Jasim A. Ghaeb , Mohammed J. Baniyounis , Mustafa Al-Khawaldeh
In this paper, the problem of voltage unbalance in the three-phase power systems is examined. A fast detection technique (FDT) is proposed to detect the voltage unbalance precisely and speedily. The well-known detection methods require more than one cycle time to detect the unbalanced voltages, whereas the proposed technique detects the unbalanced situations speedily in a discrete manner. Reducing the time duration required to detect the unbalanced voltages will enhance the dynamic response of the control system used to balance these voltages. The FDT acquires the instantaneous values of the three load voltages, calculates the sum and the space vector for these voltages at each sample, and utilizes these parameters to detect the voltage unbalance accurately within a quarter of the cycle time. A proof-of-concept simulation model for a real power system has been built. The parameters of the aqaba-qatrana-south amman (AQSA) Jordanian power system are considered in the simulation model. Also, several test cases have been conducted to test and validate the capabilities of the proposed technique.
Volume: 12
Issue: 4
Page: 2230-2242
Publish at: 2021-12-01
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