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29,939 Article Results

New scaled algorithm for non-linear conjugate gradients in unconstrained optimization

10.11591/ijeecs.v24.i3.pp1589-1595
Ghada M. Al-Naemi , Ahmed H. Sheekoo
A new scaled conjugate gradient (SCG) method is proposed throughout this paper, the SCG technique may be a special important generalization conjugate gradient (CG) method, and it is an efficient numerical method for solving nonlinear large scale unconstrained optimization. As a result, we proposed the new SCG method with a strong Wolfe condition (SWC) line search is proposed. The proposed technique's descent property, as well as its global convergence property, are satisfied without the use of any line searches under some suitable assumptions. The proposed technique's efficiency and feasibility are backed up by numerical experiments comparing them to traditional CG techniques.
Volume: 24
Issue: 3
Page: 1589-1595
Publish at: 2021-12-01

Prevention behavior of community for spreading COVID-19 in West Kalimantan Province, Indonesia

10.11591/ijphs.v10i4.20775
Linda Suwarni , Selviana selviana , Mawardi Mawardi , Marlenywati Marlenywati , Nilasari Nilasari , Suyitno Suyitno , Maretalinia Maretalinia
The COVID-19 pandemic caused huge impacts on human being worldwide. The accumulated infected cases are 156,778,078 with 3,272,054 death cases on May 7, 2021. Importantly, not many people practice the prevention behavior of COVID-19 pandemic. This study measured the prevention behavior of COVID-19 in West Kalimantan Province, Indonesia by socio-demographic factors and protection motivations from the community. This study used a cross-sectional design which was carried out for two weeks from the end of July to early August. The study involved 385 respondents from 972,635 people in Municipality Pontianak, Municipality Singkawang, and Ketapang Regency, Indonesia. The result showed the majority of the respondent were female (74.3%), in adult age group (61.3%), graduated from university (51.2%), and have a job (64.9%). Multiple logistic regression showed that respondents had no occupation (Adj. OR=1.87, 95% C.I=1.04- 3.37), low perception of self-efficacy (Adj. OR=3.44, 95% C.I=1.98-5.95), and low the evaluated cost response (Adj. OR=1.94, 95% C.I=1.20-3.14) were statistically significant having correlation with poor prevention behavior of spreading COVID-19. The results can be utilized for the promotion of protocol of prevention COVID-19, for instance, provide personal protective equipment (PPE) for people with high-risk occupation including health personal, promote the importance of practice prevention behavior, and control the price of basic PPE including mask and ensure all people have an access to have the mask.
Volume: 10
Issue: 4
Page: 771-777
Publish at: 2021-12-01

Squirrel cage induction motor fault diagnosis using lissajous curve of an auxiliary winding voltage: case of broken bars

10.11591/ijeecs.v24.i3.pp1332-1341
Jelbaoui Yakout Khadouj , El Menzhi Lamiaà , Abdallah Saad
The detection of incipient faults has attracted industrials and researchers specific attention in order to prevent the motor breakdown, improve its reability and increase its lifetime. This paper presents a squirrel cage induction machine broken bar and rings diagnosis approach. This technic uses a new monitored signal as an auxiliary winding voltage related to a small coil inserted between two stator phases. Monitoring behaviors of the Lissajous curve of this auxiliary winding voltage park components under different load levels is the main key of this study. For this purpose, the squirrel cage induction machine modeling and the explicit expressions developed for the inserted winding voltage and its Park components will be presented. Then, an induction machine with different broken cases: one broken bar, two broken bars, broken end ring and broken bars with end ring are investigated. The simulation results confirm the validity of the proposed approach.
Volume: 24
Issue: 3
Page: 1332-1341
Publish at: 2021-12-01

Public perception on COVID-19 vaccination intention

10.11591/ijphs.v10i4.20914
Zaid Zaid , Katon Pratondo
To resolve the health crisis caused by coronavirus disease (COVID-19), the Indonesian government is trying to implement a mandatory vaccination policy for all Indonesians. It was just that the success of this policy is largely determined by acceptance preceded by the public intention to be vaccinated, in which public perception plays a major role in determining intention. This research, therefore, aimed to evaluate and examine the role of perceived risk, benefit, and susceptibility on the COVID-19 vaccination intention. By using a cross-sectional approach, this quantitative study involved 98 participating respondents who were determined by the purposive sampling method. The results of this study finally found and proven that perceived risk (coefficient β=0.290 and T-value 2.456 with p-value=0.011), perceived benefits (β= 0.394 and T-value 3.873 with p-value=0.000), and perceived susceptibility (β=0.233 and T-value 3,230 with p-value=0.001) had a positive and significant effect on the COVID-19 vaccination intention.
Volume: 10
Issue: 4
Page: 906-913
Publish at: 2021-12-01

Factors affecting students’ choice of educational administration major: Why do students join the program?

10.11591/ijere.v10i4.21904
Didik Wardaya , Lantip Diat Prasojo , Sugiyono Sugiyono
The study examined factors affecting Behavioral Intention (BI) regarding students’ choice of educational administration as their major. Samples were taken from Indonesian students. The process was begun with the adaptation of survey instruments from previous studies validated through content validity. In testing the normality, Skewness and Kurtosis values were computed. Reliability assessment was applied through Cronbach’s alpha. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were both conducted for the constructs. In examining the relationship, Structural Equation Modeling (SEM) analysis using AMOS 23.0 was applied to 257 responses. The findings informed that two relationships were significant while the other two are insignificant. Perceived Behavioral Control (PBC) and Attitude (AT) significantly predicted BI, while Subjective Norm (SN) and Facilitating Condition (FC) did not significantly predict BI. The current study can expand an in-depth contribution and reference for further researchers as a basis of the empirical evidence in relation to the validated survey questionnaire. Access to the questionnaire may contribute to educational stakeholders establishing policies to improve students’ interests in studying in an educational administration study program.
Volume: 10
Issue: 4
Page: 1125-1132
Publish at: 2021-12-01

Pineapple maturity classifier using image processing and fuzzy logic

10.11591/ijai.v10.i4.pp830-838
Edwin R. Arboleda , Christian Louis T. de Jesus , Leahlyne Mae S. Tia
This paper describes the development of a prototype using an image processing system for extracting features and fuzzy logic for classifying the maturity of pineapple fruits depending on the colors of its scales. The standards that the system used are from Philippine National Standards for fresh fruits-pineapple for the 'queen' variant. The prototype automatically classified the maturity of queen pineapple variant grown in Munting Ilog, Silang, Cavite, Philippines. Data gathered are from the images loaded into the system using a camera unit under a controlled environment. The images loaded consist of the three faces of the pineapple sample, each with 120-degree coverage to capture the whole 360-degree view of the scale. The images then are sent to the system of the prototype where the features of the images are segmented based on the RGB color reduction. By using the fuzzy logic classifier, the obtained experimental results showed 100% accuracy for both the unripe and overripe maturity and 90% accuracy for the under-ripe and ripe maturity classification. The results obtained show that the developed image processing algorithm and the fuzzy-logic-based classifier could be used as an accurate and effective tool in classifying the maturity of pineapples.
Volume: 10
Issue: 4
Page: 830-838
Publish at: 2021-12-01

Energy management system and supervision in a micro-grid using artificial neural network technique

10.11591/ijpeds.v12.i4.pp2570-2579
Ezzitouni Jarmouni , Ahmed Mouhsen , Mohammed Lamhammedi , Hicham Ouldzira
Nowadays, the combination of conventional and renewable energy sources such as solar energy is one of the most widespread solutions to surmount the challenge of the climate and energy crisis. In the presence of random behavior of photovoltaic systems and variable power demand by consumers, energy management is a real challenge. In this paper, we propose a new energy management technique based on artificial neural networks in a smart grid. This will ensure the continuous supply of electricity to the consumer in the presence of random operation in energy consumption and generation. The global system is modeled and simulated under the MATLAB/Simulink tool.
Volume: 12
Issue: 4
Page: 2570-2579
Publish at: 2021-12-01

Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

10.11591/ijece.v11i6.pp5578-5587
Tole Sutikno , Hendril Satrian Purnama , Anggit Pamungkas , Abdul Fadlil , Ibrahim Mohd Alsofyani , Mohd Hatta Jopri
The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an open-source software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost.
Volume: 11
Issue: 6
Page: 5578-5587
Publish at: 2021-12-01

A new direct current circuit breaker with current regeneration capability

10.11591/ijpeds.v12.i4.pp2322-2335
S. M. Sanzad Lumen , Ramani Kannan , Nor Zaihar Yahaya
Direct current (DC) power systems are becoming very popular due to better control ability and equipment reliability thanks to the continuous development of power electronics. A DC circuit breaker (DCCB) used for current interruption in a DC network is a major part of the system. It plays the vital role of isolating networks during fault clearing as well as during normal load switching. Breaking the DC current is a major challenge as it does not have any natural zero crossing points like the AC current has. In addition, energy stored in the network inductances during normal operation opposes the instantaneous current breaking. Hence, all the conventional DC circuit breaker topologies use lossy elements to dissipate this stored energy as heat during the current breaking operation. However, it is possible to store this energy and reuse it later by developing an improvised topology. In this paper, the prospects of energy recovery and reuse in DC circuit breakers have been studied, and a new topology with regenerative current breaking capability has been proposed. This new topology can feed the stored energy of the network back into the same network after breaking the current and thus can improve the overall system efficiency.
Volume: 12
Issue: 4
Page: 2322-2335
Publish at: 2021-12-01

The degree of career polarization among educational leaders in the Jordanian Education Directorates

10.11591/ijere.v10i4.20993
Mohammad Hasan Hamadat , Mohammad Omar Al-Momani
The study aimed to identify the degree of career polarization among educational leaders in the Jordanian–education directorates of Ajloun and Jersah. The researchers adopted the descriptive -analytical approach for its suitability for such studies. The researchers used the questionnaire as the study instrument, which comprised 20 items. The researchers distributed the items in two domains, 10 items were for each domain as the study instrument. The sample of the study comprised 250 educational leaders for the first semester of the academic year 2019-2020. The study results showed that the degree of career polarization among educational leaders in the Jordanian Ministry of Education came with an average degree of rating in all its domains and for all items. The results also showed that there were no statistically significant differences at the level of statistical significance (α=0.05) attributed to the two study variables. Gender and the number of years of experience are the two study variables.
Volume: 10
Issue: 4
Page: 1282-1289
Publish at: 2021-12-01

Investigation of overvoltage on square, rectangular and L-shaped ground grids of high voltage substations by ATP/EMTP

10.11591/ijece.v11i6.pp4689-4697
Krung Luewattana , Paweena Rattanasena
Ground grid system is important for preventing the hazardous effects of overvoltage in high voltage substations due to fault current perhaps from lightning strike or device malfunction. Therefore, this study aimed to investigate the effects of overvoltage on square, rectangular and L-shaped ground grids with ground rods being distributed in mesh-pattern by using alternate transients program/electromagnetic transients program (ATP/EMTP) program. The models were simulated in the cases that 25 kA-fault current being injected into the center or one of the corners of ground grids. The results showed that the highest level of overvoltage (6.3349 kV) was detected at the corner of rectangular ground grid when the fault current was injected into its corner. However, the lowest level of overvoltage was found when the fault current was injected into the center of square ground grid. The results from this study indicated that ATP/EMTP program was useful for preliminary investigation of overvoltage on ground grids of different shapes. The obtained knowledge could be beneficial for further designing of ground grid systems of high voltage substations to receive the minimal damages due to fault current.
Volume: 11
Issue: 6
Page: 4689-4697
Publish at: 2021-12-01

A functional framework based on big data analytics for smart farming

10.11591/ijeecs.v24.i3.pp1772-1779
Loubna Rabhi , Noureddine Falih , Lekbir Afraites , Belaid Bouikhalene
Big data in agriculture is defined as massive volumes of data with a wide variety of sources and types which can be captured using internet of things sensors (soil and crops sensors, drones, and meteorological stations), analyzed and used for decision-making. In the era of internet of things (IoT) tools, connected agriculture has appeared. Big data outputs can be exploited by the future connected agriculture in order to reduce cost and time production, improve yield, develop new products, offer optimization and smart decision-making. In this article, we propose a functional framework to model the decision-making process in digital and connected agriculture.
Volume: 24
Issue: 3
Page: 1772-1779
Publish at: 2021-12-01

Design a new notched UWB antenna to rejected unwonted band for wireless communication

10.12928/telkomnika.v19i6.19768
Ansam Qasim; Al Mustansiriyh University Kamil , Ali Khalid; Al Mustansiriyh University Jassim
This paper presents a slotted design for ultra-wideband (UWB) antenna. Design of a rectangular UWB antenna covering the frequency range 3.1-10.6 GHz, to achieve notch characteristics in the bands at 3.1-8.4 GHz and 8.6-10.6 GHz. By changing the direction of distribution of current to apply this technique by inserting three C-shaped holes and two pairs of rectangular notches below the antenna. The simulation results reveal that the proposed structure is in good accord with the simulation results. The proposed UWB antenna size is (100x90x1.6 mm)3. This proposed design could provide a solution to eliminating bands that interfere in a UWB band depending on the aperture design. The simulated findings reveal that the UWB antenna operates in the 8.5 GHz center frequency range and rejects all frequency bands utilizing slits. This antenna design can provide a solution to remove UWB bands from 3.1-10.6 except for 8.5 GHz which only works. By using the notch, we got a large increase in the gain. makes to be a suitable candidate for X-band-UWB applications.
Volume: 19
Issue: 6
Page: 1769-1777
Publish at: 2021-12-01

Real-time monitoring of the prototype design of electric system by the ubidots platform

10.11591/ijece.v11i6.pp5568-5577
Noor Saleh Mohammed , Nasir Hussein Selman
In this paper, a prototype DC electric system was practically designed. The idea of the proposed system was derived from the microgrid concept. The system contained two houses each have a DC generator and load that consists of four 12 V DC lamps. Each house is controlled fully by Arduino UNO microcontroller to work in Island mode or connected it with the second house or main electric network. House operating mode depends on the power generated by its source and the availability of the main network. Under all operating cases, the minimum price of electricity consumption should satisfy as possible. Information between the houses about the operating mode and the main network state was exchanging wirelessly with the help of the RF-HC12. This information uploaded to the Ubidots platform by the Wi-Fi-ESP8266 included in the node MCU microcontroller. This platform has several advantages such as capture, visualization, analysis, and management of data. The system was examined for different cases to verify its working by varying the load in each building. All tested states showed that the houses transfer from one mode to another automatically with high reliability and minimum energy cost. The information about the main grid states and the sources of the houses were monitored and stored at the Ubidots platform.
Volume: 11
Issue: 6
Page: 5568-5577
Publish at: 2021-12-01

Prospect of low-cost energy conservation in residential energy consumption

10.11591/ijpeds.v12.i4.pp2403-2413
Ruchi Tyagi , Suresh Vishwakarma
The energy sector of trinidad and tobago (T&T), with its nationally determined contributions (NDCs), is still struggling for its place in mainstream academic literature. The review paper aims to identify the prospects of low-cost energy conservation measures in the residential sector of T&T. The review follows a four-step review methodology to serve as a basis for creating policy and practice guidelines. First, review articles are checked for their quality on a 5-point scale on the mixed methods appraisal tool (MMAT) to check the quality of review articles. Second, Microsoft Excel, R (RQDA) package, and Voyant tools have been used to index code, analyse, and visualise data. The research trends on small islands developing states (SIDS) energy aspect in general and T&T specifically highlight the critical role of energy challenges related to economic and social development, emphasising technology, infrastructure development, and funds availability. Awareness of low-cost energy conservation measures has a high prospect in reducing residential consumption and balancing demand-side management. This paper contributes to facilitating policy direction on energy efficiency and energy conservation for T&T and other SIDS.
Volume: 12
Issue: 4
Page: 2403-2413
Publish at: 2021-12-01
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