Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

25,002 Article Results

A secure and cloud-based patient management system using attribute-based encryption algorithm

10.11591/ijece.v15i2.pp2445-2454
Senthilkumar Kalarani , Mahalingam Shobana , Edamakanti Uma Shankari , Bolly Joshi Praveena , Subramaniam Shanthi , Rathinasabapathy Ramadevi , Rajendar Sandiri
Using attribute-based encryption (ABE), cloud-based patient management systems may be made more secure and efficient. The goal is to provide a scalable encryption infrastructure with dynamic attribute handling and context-aware access control for safe data access. Encryption procedures should directly comply with regulatory criteria to secure healthcare data and ensure data privacy and integrity. Secure attribute issuance and revocation are achieved using advanced key management and real-time auditing and monitoring to identify and react to unauthorised access. To help healthcare providers handle data, user-centric security measures including extensive training and adaptive security procedures are used. The encryption system is implemented and maintained using cost-effective cloud and open-source methodologies to ensure seamless integration and operational effectiveness in healthcare contexts. First, secure patient management system dataset results reveal ABE algorithm encryption. The encrypted values are 8F5D6A..., 7C4A3B..., 6E3B2C..., 9D8A7B..., 5E4D3C.... in the second instance, derived from role-based access control of ABE. The patients are 25-60 years old, have medical codes 101-105, 201-205, and 301-305. For roles from different fields, attribute code is 401-406, level code is 501-505.
Volume: 15
Issue: 2
Page: 2445-2454
Publish at: 2025-04-01

An innovative Arabic light stemmer developed using a hybrid approach

10.11591/ijece.v15i2.pp2356-2363
Driss Namly , Karim Bouzoubaa
Our study introduces an innovative light stemming tool tailored for Arabic morphology challenges. In conformance with the templatic and concatenative structures, our stemmer utilizes a combination of clitic stripping, lexicon-based, and statistical disambiguation techniques to ensure accurate stemming. To accomplish this, we rely on our clitic rules lexicon to detect all potential combinations of clitics for each input entry. Subsequently, we depend on an extensive lexicon of over 7 million stems to verify the potential stems. Lastly, we employ a statistical model to ascertain the most likely stem based on the sentence's context. Experimental results demonstrate the effectiveness of the proposed stemmer in comparison with existing ones. Using different datasets, our stemmer achieves higher accuracy and F1 scores, highlighting its efficiency in Arabic stemming tasks.
Volume: 15
Issue: 2
Page: 2356-2363
Publish at: 2025-04-01

Novel technique to deblurring and blur detection techniques for enhanced visual clarity of ancient images

10.11591/ijece.v15i2.pp2314-2324
Poonam Pawar , Bharati Ainapure
Digital image quality often degrades due to various factors such as noise and blur. Many images are affected by these issues, reducing their clarity and accuracy. This degradation is especially problematic for ancient images, significantly hampers the ability to analyze historical documents and artworks. This paper presents a novel approach to both blur detection and deblur ancient images, enhancing their clarity and readability. This research introduces a technique that combines wavelet transform and convolutional neural networks (CNNs) for effective blur identification and deblurring, specifically aimed at restoring blurred ancient images, regardless of the type of blur degradation. This novel approach demonstrated an average accuracy of 98.3% in blur detection on ancient image datasets. The performance of deblurring algorithms is typically evaluated using metrics such as peak signal-to-noise ratio (PSNR), mean squared error (MSE), and structural similarity index (SSIM) which quantify fidelity and quality of the deblurred images. In the deblurring, this approach produced PSNR values of 55.5 to 68.3 dB, MSE values of 2.99 to 11.1, and an SSIM of 0.9 across different types of blurs. These results show significant promise for the restoration of ancient images, providing researchers, historians, and archaeologists with valuable tool for conservation cultural heritage.
Volume: 15
Issue: 2
Page: 2314-2324
Publish at: 2025-04-01

Advanced stress detection with optimized feature selection and hybrid neural networks

10.11591/ijece.v15i2.pp1647-1655
Sangita Ajit Patil , Ajay Namdeorao Paithane
Stress impacts both mental and physical health, potentially leading to serious conditions like cardiovascular diseases and mental disorders. Early detection of stress is crucial for reducing these risks. This study aims to improve stress detection by analyzing physiological signals, specifically electroencephalography (EEG) and electrocardiogram (ECG). EEG is affordable, while ECG provides detailed insights into cardiovascular health. Feature selection is a major challenge in analyzing these signals. To address this, the research introduces a novel method that combines the Archimedes optimization algorithm (AoA) with the analytical hierarchical process (AHP) to enhance accuracy in both single and multimodal systems. The proposed multimodal system employs a parallel-structured convolutional neural network (CNN) with a deep architecture to extract spatial features and uses a long short-term memory (LSTM) network to capture temporal dynamics. Experimental results show significant improvements: ECG stress detection accuracy rises from 88.6% to 91.79%, EEG accuracy increases from 95% to 96.6%, and multimodal stress detection accuracy reaches 98.6%. These results highlight the effectiveness of the AoA-AHP-based feature selection technique in boosting stress detection accuracy, contributing to improved mental health management and overall well-being.
Volume: 15
Issue: 2
Page: 1647-1655
Publish at: 2025-04-01

Target image validation modeling using deep neural network algorithm

10.11591/ijece.v15i2.pp2042-2054
Naemah Mubarakah , Poltak Sihombing , Syahril Efendi , Fahmi Fahmi
Research on image validation models is an interesting topic. The application of deep learning (DL) for object detection has been demonstrated to effectively and efficiently address the challenges in this field. Deep neural networks (DNN) are deep learning algorithms capable of handling large datasets and effectively solving complex problems due to their robust learning capacity. Despite their ability to address complex problems, DNN encounter challenges related to the necessity for intricate architectures and a large number of hidden layers. The objective of this research is to identify the most effective model for achieving optimal performance in image validation. This study investigates target image validation using DNN algorithms, examining architectures with 3, 4, 5, and 6 hidden layers. This study also evaluates the performance of image validation across various activation functions, batch sizes, and numbers of neurons. The results of the study show that the best performance for image validation is achieved using the Leaky-ReLU and Sigmoid activation functions, with a batch size of 64, and an architecture consisting of 3 hidden layers with neuron sizes of 256, 128, and 64. This model is capable of providing real-time target image validation with an accuracy of up to 94.31%.
Volume: 15
Issue: 2
Page: 2042-2054
Publish at: 2025-04-01

Enhanced embedded system for various synthetic electrocardiogram generation using McSharryā€™s dynamic equation

10.11591/ijece.v15i2.pp1620-1631
Nada Fitrieyatul Hikmah , Rachmad Setiawan , Nafila Cahya Andanis , Aldo Pranata
n electrocardiogram (ECG) is a signal that describes the heartā€™s electrical activity. Signal processing techniques are necessary to extract meaningful information from ECG signals. Researchers often use large databases like the PhysioNet database to evaluate the performance of algorithms. However, these databases have limitations concerning the lack of temporal or morphological variations. This study addresses this limitation by introducing a synthetic ECG capable of producing both normal 12-lead ECG signals and abnormal ECG signals and implementing it into the microcontroller. The primary contribution involves developing a synthetic ECG model using McSharry's dynamic equation model and implementing it using Mikromedia 5 for STM32F4 Capacitive as a microcontroller. This model enables users to set the desired heart rate and accurately replicates ECG waveforms using parameters š‘Žš‘–, š‘š‘–, and šœƒš‘–, each determines the peakā€™s magnitude, the peakā€™s time duration, and the angular velocity of the trajectory. The synthetic ECG was evaluated qualitatively and quantitatively, demonstrating waveform similarity to the ECG signals. This study implies that the synthetic ECG model serves as a valuable tool for researchers and practitioners in electrocardiography. It enables the generation of normal and abnormal ECG signals, aiding in algorithm development and potentially enhancing the understanding and diagnosis of heart conditions.
Volume: 15
Issue: 2
Page: 1620-1631
Publish at: 2025-04-01

Online teaching style: insights of faculty and studentsā€™ perspectives and student engagement

10.11591/ijere.v14i2.30214
Venkata Padmaja Goteti , Jhancy Malay , Juveria Sultana , Imran Rashid Rangraze , Chilakalapalli Ramya Harshita
Medical education had a paradigm shift to online learning during COVID 19 pandemic. The studies conducted identify the benefits and limitations of online learning but not much studies on the faculty and studentsā€™ perceptions of faculty online teaching style and the degree of online student engagement. The study was done at Kakatiya Medical College, India. At the end of one year of online teaching to the novice foundation year students during lockdown period, the faculty and studentsā€™ perceptions on facultyā€™s online teaching styles and degree of student engagement were recorded using teaching style inventory (TSI) and online student engagement questionnaire. The study found that 60% of the faculty and 42% of the students perceived that the faculty adopted collaborative teaching style, thus the perception difference was significant (p=0.05). The perception of other teaching styles such as suggestive, assertive, and facilitative among faculty and students were different but statistically not significant. Students positively engaged when faculty practiced facilitative and collaborative teaching styles. To conclude, facilitative, and collaborative, teaching methods help medical studentsā€™ motivation for online engagement. Medical students were better engaged with online instruction when instructors gave prompt responses to questions, insightful criticism of work, and individualized coaching.Ā 
Volume: 14
Issue: 2
Page: 1295-1301
Publish at: 2025-04-01

Logistic regression of online risks on academic stress and performance undergraduates

10.11591/ijere.v14i2.30147
Sigit Permansah , Munawir Yusuf , Subagya Subagya , Muhtar Muhtar , Cicilia Dyah Sulistyaningrum Indrawati , Dede Rusmana
The progression of technology could lead to online risks, such as accidental exposure to harmful content by undergraduates. Investigating how this exposure affects their mental health, particularly academic stress, and in turn, their academic performance, is critically important. This study aims to examine the impact and predictability of online risks on undergraduatesā€™ academic stress and performance, using logistic regression as the main method of analysis. The findings show that online risks have a significant effect on academic stress (p<0.05), but there is no significant impact on academic performance (p>0.05). Students who frequently encounter scam or bullying content are 2.317 and 2.400 times more likely, respectively, to suffer from academic stress compared to those who encounter it less. Additionally, demographic factors, especially gender, are significant (p<0.05) in terms of academic stress and performance. The analysis predicts that females are 4.210 times more likely to experience academic stress than males, while males are 2.768 times (in model 4) and 2.601 times (model 5) more likely to achieve cum laude honors than females. This research provides valuable insights for academic policy makers to improve education quality and offers a basis for further studies in this area.
Volume: 14
Issue: 2
Page: 825-836
Publish at: 2025-04-01

Examining GenAI readiness and behavioral intention of adult learners: a PLS-SEM and IPMA approach

10.11591/ijere.v14i2.31839
Josephine Ie Lyn Chan , Saw Fen Tan , Meng Cheng Chew
In the current rapidly changing technological landscape, emerging technologies such as generative artificial intelligence (GenAI) continue to disrupt adult learnersā€™ preparedness for the AI-driven future in the workplace and in society. This study aimed to explore the factors of adult learnersā€™ behavioral intention towards adopting GenAI. A quantitative approach was used where a self-administered online survey was randomly distributed to existing adult learners at an open and distance learning (ODL) institution in Malaysia. There were 484 responses, however, due to straightlining and outlier issues, only 460 were usable. Data analysis used SPSS version 28 for data cleaning and descriptive statistics, and SmartPLS 4 to perform partial least squares structural equation modelling (PLS-SEM) and the assessment of importance-performance matrix analysis (IPMA). The findings indicated that GenAI readiness constructs of ability and ethics positively predict adult learnersā€™ intention to adopt GenAI. Management of the university should address the performance gap in ability, maintain ethical awareness, and improve the performance of vision and cognition.
Volume: 14
Issue: 2
Page: 1065-1074
Publish at: 2025-04-01

Digital learning and student outcomes: a mathematical synthesis from the last decade

10.11591/ijere.v14i2.30431
Aizhan Koishybekova , Nazym Zhanatbekova , Yerlan Khaimuldanov , Assel Orazbayeva , Dariya Abykenova
Understanding the broad effects of e-learning on educational outcomes and the contributing factors is crucial, especially given the conflicting conclusions from past research. This is important to ensure that educators and policymakers do not waste resources and focus effectively when prioritizing digital investments. Hence, this study sought to provide a comprehensive quantitative review of the extant evidence on how digital learning initiatives affect student outcomes within the cognitive domain across different subjects and educational levels. To that end, a meta-analysis was performed encompassing 17 studies spanning from 2015 to 2023, involving 1,896 participants. The quantitative synthesis was completed using a random-effects model. The results indicate a positive small to medium overall effect size (Hedgeā€™s g=.49, adjusted for publication bias) for technology-assisted interventions compared to traditional education. Subgroup analyses revealed nuances, such as higher academic gains associated with active cognitive engagement modes and potential disparities between school and higher education settings. However, no factors significantly affected the pooled effect sizes for cognitive outcomes. Nevertheless, considerable between-study heterogeneity could compromise the estimates. The meta-analysis underscores the scarcity of rigorous studies in the digital learning domain. Further research directions are outlined.
Volume: 14
Issue: 2
Page: 1150-1161
Publish at: 2025-04-01

Opportunities and challenges while conducting field trips to the museum: a narrative review

10.11591/ijere.v14i2.29297
Chatterjee Sahani , G. S. Prakasha
The museum visit field trip engages and motivates the children in various activities. Field trips to the museum provide the students with a constructivist and experiential learning environment as they construct knowledge through observing the artifacts. The present study describes the possible opportunities and challenges for school children while conducting field trips to the museum. The study employed a narrative review technique to address the research question raised. The study selected the literature reviews from 2012-2023, including studies on field trips to the museum for the academic engagement of school children. The data includes 50 peer-reviewed journal articles categorized into five categories: studentsā€™ overall development, experiential learning opportunities, the museum as a resource, the role of teachers, the school, and museum authority. Results revealed that the museum is a resource for learning and is perfect for improving studentsā€™ cognitive and affective development towards the various school subjects and helping them enhance their participatory learning opportunities. However, teachersā€™ knowledge, infrastructure, parental consent, and legitimization with the school authority are some challenges in conducting museum visit field trips. Future research may focus on conducting empirical studies, which include school-museum collaboration, to enhance the horizon of school and community knowledge.
Volume: 14
Issue: 2
Page: 871-878
Publish at: 2025-04-01

Challenges and solutions in organizing geological field trips for Moroccan secondary school life and earth sciences teachers

10.11591/ijere.v14i2.29883
AĆ¢tika Eddif , Sabah Selmaoui , Hanaa Chalak , Radouan Chakour
Teaching and learning earth sciences (ES), notably geology, are conducted across various environments, encompassing the classroom, laboratory, and, most significantly, the field. The field trip is recognized as a key component of practical training and the overall success of the educational process in ES. This paper elucidates the findings of a survey aimed at understanding the challenges faced by Moroccan secondary school teachers of life and earth sciences (LES) in organizing geological field trips. The survey sought to identify the difficulties these teachers encounter and propose potential support mechanisms to mitigate these challenges. The study revealed that teachers often do not arrange geological field trips due to challenges related to administration, personal factors, pedagogy, and didactics. In an effort to address this situation, the study underscores the importance of integrating practical work into teacher training and student education. It also emphasizes the need for the provision of more adequate teaching materials and logistical support to facilitate geological excursions, thereby enriching the appreciation of earth sciences disciplines among both teachers and students. Finally, the establishment of electronic collaboration between local Moroccan universities and secondary schools is recommended as a crucial step towards further improvement.
Volume: 14
Issue: 2
Page: 1459-1467
Publish at: 2025-04-01

Fostering integrity among school principalsā€™ ethical leadership: a comprehensive systematic review

10.11591/ijere.v14i2.30993
Mackencidy ak Bujang , Bity Salwana Alias , Azlin Norhaini Mansor
This systematic review explores the importance of promoting integrity in the ethical leadership of school principals, particularly when ethical lapses by educational leaders can impact outcomes. Increasing societal pressures and a complex educational environment highlight the importance of ethical leadership in shaping the school environment and student success. However, the lack of a complete understanding of how to effectively create ethical leadership remains a major concern. An extensive search of scholarly articles was conducted from reputable databases such as Scopus, Web of Science, and ERIC, focusing on studies published between 2020 and 2024. The flow of study based on PRISMA framework. The database found (n=19) final primary data was analyzed. The finding was divided into three themes which is academic integrity and ethics in education, leadership and integrity in educational management, and character and value education in schools. Comprehensive programs and administrative support are essential to fostering integrity in schools, while effective leadership plays an important role in shaping a conducive school environment. In conclusion, the need to foster integrity among school principals across disciplinary boundaries requires concerted efforts and innovative approaches to prepare ethical leaders to navigate the complexities of the contemporary educational landscape and inspire positive change.
Volume: 14
Issue: 2
Page: 1034-1043
Publish at: 2025-04-01

Comparison design of dynamic voltage restorers, distribution static compensators and unified power quality conditioner series shunts on voltage sag, and voltage swell

10.11591/ijece.v15i2.pp1396-1410
Yulianta Siregar , Syahrun Mubarok , Nur Nabila Mohamed
One issue with the power system is electrical power quality, which is brought on by short circuit disruptions and growing nonlinear loads. Power systems frequently have short circuits, resulting in voltage sags that can harm delicate loads. Voltage sage and swell issues can be resolved using unified power quality conditioner series shunts (UPQC-S), distribution static compensators (DSTATCOM), and dynamic voltage restorers (DVR). Custom power devices are very useful in overcoming problems with electrical networks. In this research, due to 3-phase short circuit faults, voltage sag and swell simulations were conducted using a load equal to 70% of the total load and a fault location point of 75% of the feeder length, from the results of research conducted with the case study PT. PLN (Persero) UP3 Sibolga Feeder SB 02 shows that DVR performs better than DSTATCOM and UPQC-S in handling voltage sag and voltage swell due to 3-phase short circuit disturbances. The DVR succeeded in providing the largest voltage sag recovery in phase C, increasing the voltage from 0.2481 pu to 0.9776 pu. The DVR is also effective in overcoming voltage swell on phase A, reducing it from 1.724 pu to 0.9969 pu.
Volume: 15
Issue: 2
Page: 1396-1410
Publish at: 2025-04-01

Digital resources and learning outcomes in college physical education: a survey study

10.11591/ijere.v14i2.32134
Jingnan Yu , Wenlong Song
The effectiveness of digital resources in teaching remains a widely debated issue, particularly in the field of physical education. This article aims to examine the impact of digital resource learning on the learning outcomes of undergraduate physical education courses, with a specific focus on the role of studentsā€™ awareness and competence in using digital resources. Using a questionnaire survey method, the study analyzed data from 310 undergraduate students from five universities in China. The results showed that digital use ability, use awareness and resource environment had a significant positive effect on satisfaction with learning outcomes. Digital usage awareness fully mediated the effect of digital learning confidence on learning outcome satisfaction and partially mediated the effect of digital usage ability and resource environment on learning outcome satisfaction. These findings suggest that enhancing studentsā€™ digital usage awareness and learning confidence can significantly improve learning outcomes in physical education courses. The article recommends that educators better utilize and refine digital resources in teaching and enhance studentsā€™ digital learning skills and awareness to improve the effectiveness of physical education teaching. This study enriches the content of the digital teaching model, reveals the intrinsic mechanisms of how digital resource learning affects learning outcomes, and provides new insights and methods for improving the teaching effectiveness of physical education courses.
Volume: 14
Issue: 2
Page: 1207-1216
Publish at: 2025-04-01
1 2 3
...
1666 1667
Show 24 of 1667

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration