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31,458 Article Results

A novel AI-AVO approach for maximum power generation of PMSG

10.11591/ijeecs.v36.i1.pp99-114
Prashant Kumar S. Chinamalli , Mungamuri Sasikala
Permanent magnet synchronous generators (PMSGs) are necessary for producing wind energy that is both highly reliable and reasonably priced. An inventive control technique for the driven interior PMSG (IPMSG) is presented here to maximize wind energy output and decrease losses. This research established an innovative optimization strategy for the highest wind power generation with reduced overall loss in PMSG-based Wind power generation systems. Considering, that the tip speed ratio (TPR), rotor speed 𝜔𝑟 , and quadrature axis current 𝐼𝑞 are optimized in the proposed work in such a way to enhance wind power generation. Further, the direct axis current 𝐼𝑑 is calculated from the optimized rotor speed 𝜔𝑟. The minimization of core loss is considered as the fitness function, which is a function of the direct current axis 𝐼𝑑and quadrature current axis 𝐼𝑞. The optimization is carried out using the explored aquila with African vulture optimization (EA-AVO) technique, which is the conceptual incorporation of prevailing techniques, like the aquila optimization algorithm (AOA) and the AVO algorithm. The performance of the proposed method is validated over the conventional methods, in terms of power output, losses, efficiency, and convergence analysis. According, the findings show that the proposed method attains less overall loss of 149.62 at the starting stage of 50 rotor speed, and it was 36.46% higher than AQO, 36.17% higher than AVOA, 36.59% higher than GOA methods 36.42%, and higher than WHO+PI approaches.
Volume: 36
Issue: 1
Page: 99-114
Publish at: 2024-10-01

Schema theory’s immediate impact on college students’ Chinese reading comprehension

10.11591/ijere.v13i5.28898
Tsui-Feng Huang , Sheng-Chieh Chou , Anna Liao
Studies show that there is an increase of college students who prefer reading short summaries rather than long complex texts containing knowledge or theory. Thus, this study focuses on improving first-year students’ reading comprehension in Chinese courses by observing the effectiveness of teaching reading lessons in Chinese courses with the curriculum designed based on “schema theory”. The selected reading materials are extensive texts with certain knowledge or theories. For evaluation purposes, the reading test questions uses the same measure of reading proficiency levels of program for international student assessment (PISA) to assess learners’ reading comprehension, contextual reasoning, integration, and analysis abilities more accurately. By comparing the results and discrepancies of the pre- and post-assessment, the preliminary research found that the teaching practice and curriculum designed based on schema theory effectively improves learners' reading scores and instill habits to increase their tendency to reach a deeper understanding of the reading material. This finding demonstrates the effectiveness of applying schema theory to reading lessons; resulting in potential of immediate and enhanced levels of comprehension.
Volume: 13
Issue: 5
Page: 3535-3543
Publish at: 2024-10-01

Indonesian vocational college students’ attitudes towards project-based learning in English courses

10.11591/ijere.v13i5.28406
Ira Mutiaraningrum , Sri Wuli Fitriati , Issy Yuliasri , Mursid Saleh
Following the mandatory adoption of project-based learning (PjBL) in Indonesian vocational education, there has been a revival in popularity as a prevalent instructional approach in higher education. However, no research on students' attitudes toward mandatory PjBL in Indonesia has raised concerns about its acceptance. This article describes Indonesian vocational college students’ attitudes toward PjBL in English language courses. The study specifically focuses on cognitive, affective, and behavioral attitudes and how students perceive the advantages of PjBL for their English skills and career aspirations. This quantitative study included 336 Indonesian vocational students from twelve state and private colleges in Indonesia. The results of this study revealed that students had a positive attitude toward PjBL in their English courses. Students’ cognitive, affective, and behavioral attitudes indirectly influenced their career aspirations, with English skill benefits acting as mediators. This study proves that how students feel, think, and behave affects their future career goals by shaping how they perceive improvement in their English language skills.
Volume: 13
Issue: 5
Page: 3177-3184
Publish at: 2024-10-01

Mathematics education in the curricula of the preservice teacher in early childhood education in Spain

10.11591/ijere.v13i5.28892
María de los Ángeles Hidalgo-Méndez , Carmen León-Mantero , José Carlos Casas-Rosal , Miguel Ernesto Villarraga-Rico
The objective of this research is to describe the situation of mathematical training in the early childhood education degree curricula in Spain through the analysis of the teaching guides of the subjects with mathematical content offered in the different Spanish universities. The aim is to identify the typology of subjects, the number of subjects offered, and the recommended bibliography. The methodology used is descriptive, exploratory, ex post facto, and census. For this purpose, the registry of universities, centers, and degrees was first consulted during the 2019-2020 academic year to obtain a list of all the Spanish universities that offer degrees in early childhood education and, therefore, to be able to download the corresponding teaching guides. Of the 91 universities in Spain, the early childhood education degree is taught in 66. Likewise, 101 subjects with mathematical content have been identified, although only 99 are available for analysis. Most are compulsory, have a study load of six European credit transfer system (ECTS) credits, and are taught in the third year of the degree. The recommended bibliography mainly concentrates on publications from 2001-2010 and mostly on book references.
Volume: 13
Issue: 5
Page: 3474-3484
Publish at: 2024-10-01

Simulation of losses in a three-phase bank of transformers in the presence of harmonic distortion

10.11591/ijece.v14i5.pp4827-4837
Frank Grau-Merconchin , Orestes Hernández Areu , José Ricardo Nuñez Alvarez , Michael Montenegro-Romero , Oscar Quintero-Ospino
The load losses of the transformers increase considerably with the presence of harmonic distortion in the currents. Its increase can be determined using an analytical method based on ANSI/IEEE Standard C57.110. On the other hand, when it comes to three-phase banks with transformers of different capacities, delta connections, or incomplete connections, the analytical method does not allow the losses to be accurately estimated, which is why digital simulation is necessary. This work presents an adjusted model to determine the load losses in a three-phase bank of three single-phase transformers with different connection schemes. The model allows for determining load and electrical losses and calculating total additional losses. It is also possible to decide on the load capacity of the bank's transformers, the power factor, and the efficiency with which they operate under these conditions.
Volume: 14
Issue: 5
Page: 4827-4837
Publish at: 2024-10-01

Effectiveness of digital learning on students’ higher order thinking skills

10.11591/ijere.v13i5.29449
Hamidah Mat , Siti Salina Mustakim , Fazilah Razali , Norliza Ghazali , Asnul Dahar Minghat
In the realm of education, learning and instructional activities play a crucial role in cultivating lasting and meaningful comprehension among science students. This research aims to evaluate the effectiveness of the i-Genius module in enhancing students’ performance in science. The i-Genius module’s development adhered to the ADDIE model, and two specific research questions were formulated: i) is there a statistically significant difference in mean scores between the experimental and control groups? and ii) to what extent can i-Genius contribute to students’ conceptual evolution compared to traditional methods? To address these questions, a sequential mixed-method approach involving interviews, pre-tests, and post-tests was implemented in two distinct schools in the Seremban District. The experimental group comprised 35 participants, and the control group also included 35 students with similar characteristics. Student performance, assessed through pre-test and post-test mean scores, revealed that students exposed to i-Genius achieved significantly higher scores than those exposed to traditional methods in the post-test (t(68)=8.37, p<0.05). This study’s implications lie in its practical application within the school context, offering an alternative instructional tool for teaching science and presenting an instructional model to guide teachers in formulating strategies that encourage problem-posing within the science curriculum.
Volume: 13
Issue: 5
Page: 2817-2824
Publish at: 2024-10-01

Tourism itinerary recommendation using vehicle routing problem time windows and analytics hierarchy process

10.11591/ijeecs.v36.i1.pp517-534
Surya Michrandi Nasution , Reza Rendian Septiawan , Fairuz Azmi
Bandung and Lembang are cities that are chosen by tourists as their destinations. Even though these cities are located side-by-side, each city has different characteristics. Bandung has many hotels and culinary spots, meanwhile, Lembang has many scenery spots. Tourists usually have limited time to visit all the destinations on holiday, which makes them choose several destinations. This paper proposes a tourism itinerary recommendation system based on the calculation of the most optimal route between destinations using the vehicle routing problem with time windows (VRPTW). Later, the optimal route is defined using the shortest path algorithm (Dijkstra). Data for the algorithm came from the collaboration between the several road information and criteria weights that are determined using the analytics hierarchy process (AHP). According to the simulation, the criteria weights are 6.9%, 62.7%, 18.6%, and 11.9% for route length, traffic condition, travel time, and weather condition, respectively. Moreover, the optimal number of tourism itinerary plans is 4 destinations. As the usage of computational resources, it takes 31.8% and 61.9% of CPU and memory usage. The time processing increases exponentially as the increment of the number of requested stops. The output of this research is expected to be a solution to the tourist itinerary plan.
Volume: 36
Issue: 1
Page: 517-534
Publish at: 2024-10-01

Towards global citizenship–role of cross border higher education across the ASEAN region

10.11591/ijere.v13i5.29441
Bilal Khalid , Joanna Kurowska-Pysz
The Association of Southeast Asian Nations (ASEAN) region has been experiencing a vibrant economy with heavy investment in higher education as an economic development driver. Being home to over 630 million people and more than 7,000 higher education institutions (HEIs) and over 12 million students, it was critical to evaluate the role of cross-border higher education in the region. This study aimed to investigate the factors and motivations contributing to the success and efficacy of cross-border higher education in the ASEAN region. Additionally, it sought to examine the impact of cross-border education on the development of global citizenship. A quantitative study was conducted using secondary data from the repositories of the World Bank and UNESCO Institute for Statistics (UIS). Data was analyzed using descriptive visualizations and regression analysis. Results indicated variations in HEIs investments, with Brunei having the least. Many students moved from the ASEAN region to seek higher education in other regions, with Vietnam having the highest number of 137,022 students. The majority of these ASEAN countries have more than 10,000 higher education students' abroad. The United States, Australia, and Japan were the significant destinies of students from the ASEAN region. Government expenditure on tertiary education, gross domestic product (GDP), tertiary school enrolment, and GDP growth rate were found to have a significant influence on cross-border higher education mobility. Policy recommendations were the development of international collaborations, cross-border partnerships, and cross-national harmonization to enhance the partnership and mobility of higher education students in the ASEAN region.
Volume: 13
Issue: 5
Page: 3293-3305
Publish at: 2024-10-01

Scientific landscape on opportunities and challenges of large language models and natural language processing

10.11591/ijeecs.v36.i1.pp252-263
Rachel Edita O. Roxas , Reginald Neil C. Recario
This paper conducted a systematic review of Scopus-indexed publications on large language models (LLMs) and natural language processing (NLP) extracted in October 2023 to address the dearth of literature on their opportunities and challenges. Through bibliometric analysis, from the 1,600 relevant documents, the study explored research productivity, revealing both opportunities and challenges spanning research and real-world applications in education, medicine, and health care, citations, and keyword co-occurrence networks. Results highlighted distribution patterns and dominant players like Google LLC and Stanford University. Opportunities such as technological development in generative artificial intelligence (AI), were contrasted with challenges such as biases and ethical concerns. The intellectual structure analysis revealed prominent application areas in health and education and also emphasized issues such as AI divide and human-AI partnership. Improvement on the technology performance of LLM and NLP remains to be a challenge. Recommendations include further exploration of open research problems and bibliometric studies using other research databases given the research bias towards Scopus-indexed English publications.
Volume: 36
Issue: 1
Page: 252-263
Publish at: 2024-10-01

Predicting television programs success using machine learning techniques

10.11591/ijece.v14i5.pp5502-5512
Khalid El Fayq , Said Tkatek , Lahcen Idouglid
In the ever-evolving media landscape, television (TV) remains a coveted platform, compelling industry players to innovate amid intense competition. This study focuses on leveraging machine learning regression models to precisely predict TV program reach. Our objective is to assess the models' efficacy, revealing a standout performer with a mean absolute percent error of just under 8%. Significantly, we identify features exerting a substantial impact on predictions and explore the potential for model enhancement through expanded datasets. This research extends beyond statistical insights, offering actionable implications for TV channel managers. Empowered by these findings, managers can make informed decisions in program planning and scheduling, optimizing viewer engagement. The temporal analysis of evolving trends over time adds a nuanced layer to our study, aligning it with the dynamic nature of the media landscape. As television retains its dynamic force, our insights contribute not only to academic discourse but also provide practical guidance, enhancing the competitive edge of television channels.
Volume: 14
Issue: 5
Page: 5502-5512
Publish at: 2024-10-01

The acceptance model for camera simulators as a learning media for Indonesian vocational student

10.11591/ijere.v13i5.29011
Novian Anggis Suwastika , Maslin Masrom , Qori Qonita , Rahmat Yasirandi , Hilal Hudan Nuha
This study investigates the acceptance of camera simulator technology as a learning media by Indonesian vocational high school (VHS) students and examines the relationships among influencing factors. It proposes an acceptance model integrating the technology acceptance model (TAM) 3 and the unified theory of acceptance and use of technology (UTAUT). Ten factors impacting technology acceptance were identified, resulting in the formulation of 15 hypotheses regarding inter-construct relationships. In this empirical study, a quantitative approach was employed, distributing questionnaires to 200 students at Public Vocational High School 10 in Bandung, specializing in broadcasting and filmmaking programs. After analyzing 145 valid responses, the study progressed in two stages: the measurement model and the structural model. The evaluation of the measurement model confirmed the validity of all indicators and constructs, ensuring compliance with the established standards. In the structural model evaluation, one construct (computer anxiety) and four inter-construct relationships were excluded. This research enhances our understanding of factors influencing camera simulator technology acceptance among VHS students in Indonesia, shedding light on the complexities of their decision-making process in adopting this educational tool.
Volume: 13
Issue: 5
Page: 2996-3007
Publish at: 2024-10-01

An efficient approximate method for solving Bratu’s boundary value problem

10.11591/ijece.v14i5.pp5738-5743
Kamel Al-Khaled , Mahmood Shareef Ajeel , Issam Abu-Irwaq , Hala Al-Khalid
We compute the numerical solution of Bratu’s boundary value problem (BVP). To achieve this, we apply a new and useful approach to solve Bratu’s boundary value problem by using Green’s function and a new integral operator, along with a modified version of the Adomian decomposition method. This process produces solutions that call for the boundary conditions to be applied explicitly. Statistical results demonstrating the robustness and efficiency of the proposed scheme are included. An exact and approximate solution comparison is made with known results. The quantitative outcomes showcase our novel approach’s high numerical precision and consistency across a range of parameter configurations.
Volume: 14
Issue: 5
Page: 5738-5743
Publish at: 2024-10-01

Deep neural networks for removing clouds and nebulae from satellite images

10.11591/ijece.v14i5.pp5390-5399
Natalya Glazyrina , Raikhan Muratkhan , Serik Eslyamov , Gulden Murzabekova , Nurgul Aziyeva , Bakhytgul Rysbekkyzy , Ainur Orynbayeva , Nazira Baktiyarova
This research paper delves into contemporary methodologies for eradicating clouds and nebulae from space images utilizing advanced deep learning technologies such as conditional generative adversarial networks (conditional GAN), cyclic generative adversarial networks (CycleGAN), and space-attention generative adversarial networks (space-attention GAN). Cloud cover presents a significant obstacle in remote sensing, impeding accurate data analysis across various domains including environmental monitoring and natural resource management. The proposed techniques offer novel solutions by leveraging spatial attention mechanisms to identify and subsequently eliminate clouds from images, thus uncovering previously concealed information and enhancing the quality of space data. The study emphasizes the necessity for further research aimed at refining cloud removal algorithms to accommodate diverse detection conditions and enhancing the overall efficiency of deep learning in satellite image processing. By highlighting potential benefits and advocating for ongoing exploration, the paper underscores the importance of advancing cloud removal techniques to improve data quality and unlock new applications in Earth remote sensing. In conclusion, the proposed approaches hold promise in addressing the persistent challenge of cloud cover in space imagery, paving the way for more accurate data analysis and future advancements in remote sensing technologies.
Volume: 14
Issue: 5
Page: 5390-5399
Publish at: 2024-10-01

Optimal control design of the COVID-19 model based on Lyapunov function and genetic algorithm

10.11591/ijece.v14i5.pp5117-5130
Aminatus Sa'adah , Roberd Saragih , Dewi Handayani
Millions of people died worldwide as a result of the coronavirus disease 2019 (COVID-19) pandemic that started in early 2020. Examining the COVID-19 susceptible-exposed-infected-recovery (SEIR) mathematical model is one approach to developing the best control scenario for this disease. The study utilized two control variables, vaccination, and therapy, to construct a control function that relied on the quadratic Lyapunov function. The control objective was to lower the number of COVID-19 infections while maintaining system stability. A genetic algorithm (GA) is used as a novel method to estimate controller parameter value to replace the previously used parameter tuning procedure. Then, a numerical simulation was carried out implementing three control scenarios, namely vaccination control only, treatment control only, and vaccination and treatment control simultaneously. Based on the results, scenario 3 (vaccination and treatment simultaneously) showed the most significant decrease: the average decrease in the exposed human population was 98.29%, and the infected human population was 98.18%.
Volume: 14
Issue: 5
Page: 5117-5130
Publish at: 2024-10-01

Students’ learning motivation in English for specific purpose in Chinese universities

10.11591/ijere.v13i5.29421
Xu Guosheng , Zhang Xiaoyu , Qian Baihui
A large number of studies at home and abroad have demonstrated the importance of university students’ English learning motivation, but few studies have focused on a certain field, or students’ major particularly under the context of Chinese private university. This research explores students’ motivation to learn English for specific purposes (ESP), and 123 student participants majoring in mechanical and electronic engineering in Shandong Huayu University of Technology participated in the research. Data are presented qualitatively and quantitatively. Students filled in a quantitative questionnaire about learning motivation, then SPSS27 was used to analyze relevant data. In addition, focus group interview, as a qualitative means, was used in the research, and 12 student participants who were going to attend ESP class showed their opinions in the group interview. The results showed that students’ learning motivation comes more from teachers’ personal charm, harmonious teacher-student relationship and comfortable and warm learning environment, while setting difficult tasks for them is not their main motivation. The research results provide a useful reference for teachers to adopt teaching practices that motivate students to learn in ESP class.
Volume: 13
Issue: 5
Page: 3402-3410
Publish at: 2024-10-01
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