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Could coronavirus 2019-infected disease patients get cope with the treatment?: A qualitative study

10.11591/ijphs.v10i4.20912
Fery AM Mendrofa , Umi Hani , Yuni Nurhidayat
A pandemic of a novel coronavirus-infected disease is currently ongoing in the world. Most patients have to be isolated due to the treatments. This study aimed to make sense of how patients with coronavirus-infected disease understand and experience infectious isolation. The research used a qualitative design with a phenomenological approach. Data collection was conducted with in-depth interviews of nine patients with coronavirus disease-2019 (COVID-19) confirmed who had been in the isolation room. The analysis was conducted on interview transcripts by organizing keywords found into categories, sub-themes, and themes based on Colaizzi's approach. The results indicated that the participants experienced fright due to the isolation and attempted to integrate their isolation experiences. Isolation highlighted a sense of threat posed by cross-infection, a threat that participants experienced as originating from others and from themselves to others. Participants described feeling changes experienced after several days of treatment. Participants reported various symptoms of the disease and received careful care while in isolation. They still communicate with family. Isolated patients are able to deal with the treatment by improving their coping strategies. Participants reported the most support from their families, even from a distance. Future research could explore experiences of isolation from family and staff perspectives and identify the psychological aspect in caring for the COVID-19 patients.
Volume: 10
Issue: 4
Page: 880-887
Publish at: 2021-12-01

SAFEA application design on determining the optimal order quantity of chicken eggs based on fuzzy logic

10.11591/ijai.v10.i4.pp858-871
Sesar Husen Santosa , Agung Prayudha Hidayat , Ridwan Siskandar
The availability of stock in the chicken egg supply chain is influenced by the ability of egg Agents to determine the optimal orders to suppliers. The optimal number of orders is very important to manage for the Bogor City Egg Agent Indonesia because the stock capacity reaches 340 crates. The optimal number of orders for eggs at the Egg Agent is influenced by input variables, namely final stock (crate), selling price (crate), and consumer demand (crate) so that the inventory is under control. The three input variables have fuzzy values that must be processed using fuzzy logic to get the optimal number of orders to suppliers so that the egg stock in the warehouse is well maintained. The optimal order model for eggs in the smart application for egg agent (SAFEA) was developed using a fuzzy logic approach with the triangular and trapezoidal membership function. Based on the optimal order model in the SAFEA application, the optimal order to the supplier is 100-104 crates per day.
Volume: 10
Issue: 4
Page: 858-871
Publish at: 2021-12-01

Combined RBFN based MPPT and d-axis stator current control for permanent magnet synchronous generators

10.11591/ijpeds.v12.i4.pp2459-2469
Tuan Ngoc Anh Nguyen , Duy Cong Pham , Luu Hoang Minh , Nguyen Huu Chan Thanh
This paper proposes a new radial basis function neural network maximum power point tracking controller based on a differential evolution algorithm for machine side converter of permanent magnet synchronous generator wind turbine under variable wind speed. Direct axis stator current control methods of permanent magnet synchronous machine are reviewed shortly. A combined radial basis function neural network-based network maximum power point tracking method and d axis stator current control techniques including zero d axis stator current, unity power factor, and constant stator flux-linkage have been implemented to control the machine side converter of permanent magnet synchronous generator wind turbine. The dynamic performance of the proposed approach is assessed under different operating conditions through a simulation model based on MATLAB. It has been seen that the radial basis function neural network controller can not only track well the maximum power point but also can be reduced costly.
Volume: 12
Issue: 4
Page: 2459-2469
Publish at: 2021-12-01

Facial emotion recognition using deep convolutional neural network and smoothing, mixture filters applied during preprocessing stage

10.11591/ijai.v10.i4.pp889-900
Pragnyaban Mishra , P. V. V. S. Srinivas
The facial emotion recognition by the machine is a challenging task. From decades, researchers applied different methods to classify facial emotion into the different classes. The expansion of artificial intelligence in a form of deep convolutional neural network (CNN) changed the direction of the research. The facial emotion recognition using deep CNN is powerful in terms of taking bulk input images for processing and classify with high accuracy. It has been noticed in a few cases the classification model does not judge the facial images into appropriate classes due to the influence of noises. So, it is highly recommended to apply a noiseless image to the facial emotion recognition model for classification. We adopted a mechanism and proposed a model for classifying facial image into one of the seven classes with high accuracy. The images are smoothed before applying to the model by different smoothing process as part of image preprocessing. We claim facial emotion recognition with image smoothing by different filters or a mixture of filter are more robust than without preprocessing. The detail is explained in the subsequent sections.
Volume: 10
Issue: 4
Page: 889-900
Publish at: 2021-12-01

Consideration of contribution of hot-electron injection to the resistive switching of sputter-deposited silicon oxide film

10.11591/ijeecs.v24.i3.pp1367-1378
Yasuhisa Omura
This paper considers the contribution of hot electrons to the resistive switching of sputter-deposited silicon oxide films based on experiments together with semi-2D Monte Carlo simulations. Using various device stack structures, this paper examines the impact of hot-electron injection on resistive switching, where conduction-band offset and fermi-level difference are utilized. Support is found for the predictions that hot-electron injection reduces the switching voltage and this should reduce the dissipation energy of switching. It is predicted that two-layer metal stacks can significantly reduce the number of oxygen vacancies in the sputter-deposited silicon oxide film after the reset process. It is also demonstrated that, in unipolar switching, the number of E’ or E” centers of the sputter-deposited silicon oxide film is relatively large.
Volume: 24
Issue: 3
Page: 1367-1378
Publish at: 2021-12-01

Validity and reliability testing of home care stroke quality indicators

10.11591/ijphs.v10i4.20846
Nur Chayati , Christantie Effendy , Ismail Setyopranoto
It is disconcerting that until today there are no agencies or research to recommend the appropriate indicators of home nursing care of stroke patients according to Indonesian conditions. Hence, this research aimed to verify the validity and reliability of quality indicators of home nursing care for stroke patient that resulted from Delphy process. Confirmatory factor analysis was carried out for validity and reliability testing with data collected from 350 respondents. Based on the value of loading factors, 62 indicators were declared valid and five indicators were invalid. This study successfully proved the validity of 62 indicators of quality home care for stroke patients. Further research is needed to pilot project this indicator in a larger area.
Volume: 10
Issue: 4
Page: 873-879
Publish at: 2021-12-01

DC traction power substation using eighteen-pulse rectifier transformer system

10.11591/ijpeds.v12.i4.pp2284-2294
Chuen Ling Toh , Chee Wei Tan
Twelve-pulse rectification system had been widely integrated in today’s DC traction power sub-station (DC-TPSS). This configuration had successfully mitigated low order harmonic distortion. As some research findings had confirmed that the dc voltage and current ripple factors may further minimize by increasing the number of rectification pulses to 18, 24, or 36. This paper had presented a simulation study to investigate the prospect of implementing an eighteen-pulse rectification system in a DC-TPSS. The theory of phase-shifting transformer used to produce an 18-pulse rectifier is presented with simulation verification. Simulation result shows that 3.69% of grid current distortion index is recorded without installing any filters. In addition, the dc voltage and current ripple may also be further reduced for about 30% compared to a conventional twelve-pulse rectification system.
Volume: 12
Issue: 4
Page: 2284-2294
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

A field-oriented control method using the virtual currents for the induction motor drive

10.11591/ijpeds.v12.i4.pp2095-2102
Cuong Dinh Tran , Tien Xuan Nguyen , Phuong Duy Nguyen
An improving field-oriented control technique without current sensors is proposed to control rotor speed for an induction motor drive. The estimated stator currents based on the slip frequency are used instead of feedback current signals in the field-oriented control (FOC) loop. The reference signals and the estimated currents through computation steps are used to generate the control voltage for the switching inverter. Simulations were performed in Matlab/Simulink environment at rated speed and low-speed range to demonstrate the method's feasibility. Through simulation results, the FOC method using virtual sensors has proved its effectiveness in ensuring the stable operation of the induction motor drive (IMD) over a wide speed range.
Volume: 12
Issue: 4
Page: 2095-2102
Publish at: 2021-12-01

Digital filters windowing for data transmission enhancement in communication channel

10.11591/ijeecs.v24.i3.pp1454-1468
Ola N. Kadhim , Kifah T. Khudhair , Fallah H. Najjar , Hassan M. Al-Jawahry
In this search, an important methodology has been presented for communicated information rectification utilizing advanced channel windowing approach. The modern data communication technologies are ensured with numerous challenges because of their unpredictability and arrangement. Various digital transmission topologies in 4G can't fulfill the requirements in future arrangements, therefore, alternative multicarrier modulation (MCM) becoming the nominated approaches among all other data transmission techniques. Wherein prototype filter configuration is a fundamental system based on which the synthesis and analysis filters are derived. This paper presents a complete review on the ongoing advances of finite impulse response (FIR) filter plan procedures in MCM based correspondence frameworks. Initially, the essential issues are tried, taking into consideration the presentation of available data signal applicants and the FIR filter design concept. At that point the techniques for FIR filter configuration are summed up in subtleties and are center around the accompanying three group’s recurrence testing strategies, windowing based strategies and advancement-based techniques. At last, the exhibitions of different FIR structure strategies are assessed and measured by power spectral density (PSD) and bit error rate (BER), and variable MCM plots as well as their potential prototype filters are examined.
Volume: 24
Issue: 3
Page: 1454-1468
Publish at: 2021-12-01

Converting cumulative grade point average to an equivalent percentage value based on a fuzzy logic

10.11591/ijeecs.v24.i3.pp1823-1831
Ibrahim Eldesouky Fattoh , Farid Ali Mousa , Soha Safwat
The graduates who have finished their study program will be given a merit award and their award certificates will be graded in accordance with the degree of their academic accomplishment. The awards are generally offered using two methods; one is by the cumulative grade point average (CGPA) and the other is by the average percentage of all marks for the students. The problem is when assigning a course final grade; each student's final percentage is translated to a letter, allowing the discrepancy within the same letter grade range in the final ranking. If two students have the same final score, that means equal results. However, this equality can be false if one student hits a percentage of the highest grade, while the second student earns a percentage of the lowest grade of the same letter grade. This paper introduced a new equation that transforms between the awarded cumulative grade point average and the awarded percentage ranking based on fuzzy system. The proposed approach was tested using three actual benchmarks collected from three different colleges in Beni-Suef university. The obtained results reflects the effect of the fuzzy logic in helping converting form CGPA measures to percentage measure in educational systems.
Volume: 24
Issue: 3
Page: 1823-1831
Publish at: 2021-12-01

A global system for mobile communications-based electrical power consumption for a non-contact smart billing system

10.11591/ijece.v11i6.pp4659-4666
Ihsan Jabbar Hasan , Bushra Mahmoud Waheib , Nahla Abdul Jalil Salih , Nadhir Ibrahim Abdulkhaleq
This paper proposes a cheap solution to be a starting point for building smart electrical power billing systems. Electrical power has many challenges issues in Iraq, one of these challenges and the most important is the Billing system. The smart power meter uses an Arduino Uno as the core for controlling the sensed data and transmits it to the electrical power unit for billing services. The system is constructed with two parts: the transmitting unit measures the current, voltage, power and power factor through the compact new sensor PZEM-004T. The data sensed and processed by the microcontroller which displayed the KWh on (2*16 LCD) display. This data also transmitted to the electrical power company unit via the global system for mobile communications (GSM) module (SIM900A) which is a dual band GSM/GPRS-general packet radio service modem. The receiving part is mainly dedicated for collecting the required consumed power data via the same (SIM900A) module and also can display it using (2*16 LCD) display. For the sake of saving these data, the receiver part uses SD ram for such purposes. With such proposed system the electrical power company can control and collect their fees monthly without loss and with minimum cost.
Volume: 11
Issue: 6
Page: 4659-4666
Publish at: 2021-12-01

Optimal sizing and sitting of electric vehicle charging station by using archimedes optimization algorithm technique

10.11591/ijpeds.v12.i4.pp2557-2569
Mohamed Abdelhamed Zaki , Tarek Mahmoud , Mohamed Atia , EL Said Abd El Aziz Osman
Increasing penetration of electric vehicle (EV) load into the electricity sector will result in generation imbalance, an increase in real power loss, a low voltage profile and consequently a decrease in the margin of stability of voltage. It is necessary for the coordination of charging stations (CSs) for EV at the relevant locations to minimize the effect of increased EV load penetration in radial systems. In this paper, a new optimization method named Archimedes optimization algorithm (AOA) is proposed; it determined the optimal location and size for EV-CS for reducing power losses and improved voltage profile. In this work we used the photovoltaic (PV) renewable source as a main feeder for the CSs. Many of Artificial Intelligence technique are applied to determine the optimal sizing and sitting of EV-CSs considering the objective of minimization of real power loss. IEEE 33-bus testing network conducts simulation tests. The results highlighted the need to refine the EV-CS allocation to improve the performance. The ability to solve complex, non-linear objective optimization issues using AOA and to compare the results with other algorithms, namely particle swarm optimization (PSO), cuckoo search algorithm (CSA), shows its effectiveness in minimizing the power loss as required.
Volume: 12
Issue: 4
Page: 2557-2569
Publish at: 2021-12-01

A new approach to three-phase asynchronous motor model for electric power system analysis

10.11591/ijpeds.v12.i4.pp2083-2094
Laura Collazo Solar , Angel A. Costa Montiel , Miriam Vilaragut Llanes , Vladimir Sousa Santos
In this paper, a new steady-state model of a three-phase asynchronous motor is proposed to be used in the studies of electrical power systems. The model allows for obtaining the response of the demand for active and reactive power as a function of voltage and frequency. The contribution of the model is the integration of the characteristics of the mechanical load that can drive motors, either constant or variable load. The model was evaluated on a 2500 kW and 6000 V motor, for the two types of mechanical load, in a wide range of voltage and frequency, as well as four load factors. As a result of the evaluation, it was possible to verify that, for the nominal frequency and voltage variation, the type of load does not influence the behavior of the powers and that the reactive power is very sensitive to the voltage variation. In the nominal voltage and frequency deviation scenario, it was found that the type of load influences the behavior of the active and reactive power, especially in the variable load. The results demonstrate the importance of considering the model proposed in the simulation software of electrical power systems.
Volume: 12
Issue: 4
Page: 2083-2094
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
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