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Alde Alanda
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International Journal of Advanced Science Computing and Engineering
Published by Society of Visual Informatics
ISSN : 27147533     EISSN : 27147533     DOI : https://doi.org/10.30630/ijasce
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded system, Coud Computing, Internet of Thing, Robotics, Computer Hardware Information Technology : Information System, Internet & Mobile Computing, Geographical Information System Visualization : Virtual Reality, Augmented Reality, Multimedia, Computer Vision, Computer Graphics, Pattern & Speech Recognition, image processing Social Informatics: ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 7 No. 1 (2025)" : 5 Documents clear
Numerical Investigation of High-Temperature Thermal Energy Storage Systems Using Concrete and Nitrate Salts: Optimization and Performance Analysis Ayenew, Tewodros Eskemech; Asefa, Natnale Sitotaw
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.216

Abstract

This study conducts a numerical analysis of high-temperature Thermal Energy Storage (TES) systems, focusing on concrete used as a sensible heat storage material and potassium nitrate (KNO₃) as a phase change material (PCM). The study aimed to enhance the performance of TES systems in Concentrated Solar Power (CSP) plants by optimizing the number of Heat Transfer Fluid (HTF) tubes and analyzing different storage bed configurations. A 3D numerical model was developed using COMSOL Multiphysics 4.3a to simulate heat transfer processes, including fluid flow, conduction, convection, and phase change. A grid independence test ensured the accuracy of the simulations. The research identified that 25 HTF tubes provide an optimal balance between heat transfer efficiency and material usage in the nitrate salt TES model. Additionally, the cylindrical storage bed configuration reduced charging time by over 20% compared to a rectangular configuration. The results indicate that concrete can store up to 15 MJ of thermal energy, making it a viable option for CSP applications. The study also highlights the potential of embedding highly conductive materials like copper to enhance heat transfer. Recommendations for future work include exploring TES system performance under turbulent flow conditions and for intermediate temperature applications.
Building Enthusiasm Level Detection Model on Online Learning Using YOLOv11 with Hyperparameter Optimization Hilmi Aziz; Yulianti, Siti; Rianto
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.231

Abstract

This study aims to develop a model for detecting enthusiasm levels in online learning using the YOLOv11 algorithm, enhanced through hyperparameter optimization. Facial expressions serve as crucial indicators in determining enthusiasm, as they reflect the level of attention and interest a learner has toward the material. By increasing the number of interest level categories, the model is expected to provide a more detailed and accurate assessment of student engagement. The dataset used in this research is sourced from FER2013, which initially consists of seven emotion classes. These emotions are reorganized and classified into five enthusiasm levels to represent different levels of interest in learning better. Each level contains 1,000 images, resulting in a dataset of 5,000 images. This dataset was refined from previous studies to enhance its relevance and improve detection performance, making it more suitable for real-world applications. To achieve optimal performance, key hyperparameters, including the number of epochs, batch size, and image size, were fine-tuned. Before optimization, the model demonstrated an average precision (mAP 50-95) of 95.2% with an inference time of 1.7 milliseconds. After hyperparameter tuning, the model’s performance improved significantly, reaching an average precision (mAP 50-95) of 97%. However, this enhancement came with a slight increase in inference time to 3.1 milliseconds. The results highlight that fine-tuning model parameters can enhance detection accuracy while maintaining efficient processing speed, making it highly applicable in educational settings for assessing learner engagement.
Solar Panel Monitoring System with Microcontroller Based Data Storage Junaidi, Andi; Yogianto, A. Agus; Setiawan, Denny; Naufal, Arga Rifqi
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.239

Abstract

Solar photovoltaic (PV) systems have been widely implemented in diverse applications, including buildings, traffic light systems, and public infrastructure, to reduce reliance on fossil fuels. However, the effectiveness of these systems depends on detailed and user-friendly monitoring, which remains a challenge due to cost and complexity barriers. This study addresses this gap by developing a low-cost, scalable PV monitoring system that integrates microcontroller-based sensors and data loggers to measure current, voltage, and power output in real time. The system is designed to be easily deployable and accessible, enabling broader adoption for renewable energy management. Using an experimental methodology, the system’s accuracy was validated through voltage sensor error analysis, yielding an average error of 0.07%, demonstrating high precision. The proposed solution not only enhances monitoring capabilities but also contributes to the optimization of solar energy systems by providing reliable data for performance evaluation. This research underscores the potential of affordable monitoring tools to support the sustainable expansion of solar PV technology.
Multiple Events and Multiple Users Tabulation System with E-Certificate Generation Cornelio Jr, Benjamin L.; S. Borcelo, Rowena; D. Siason Jr, Nordy
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.240

Abstract

This study was conducted to help the Cultural Office of the Iloilo State University of Science and Technology (ISUFST) Dingle Campus by developing a system to make contest tabulation faster and more accurate. The problem is that most of the events or contests still use a paper and pen or manual tabulation. This system is called the MEMU Tabulation System with e-certificate generation, it sends email confirmations to certify that judges were present and participated, ensuring fairness and transparency. The researchers used a developmental research method so the system could be improved in the future based on the needs of the Cultural Office. To make sure it met quality standards, the system was evaluated using the ISO 25010 framework, which checks important aspects like usability, reliability, and functionality. For the evaluation, the researchers asked for feedback from 10 IT experts and 40 users. These users were cultural event coordinators, faculty members, staff, and judges with experience in local pageants. Their opinions were gathered to see how well the system worked and how easy it was to use. The results were very positive. The system earned a score of 4.89, which is considered “Excellent.” This means the MEMU Tabulation System is highly reliable, easy to use, and meets the expectations of its users. It shows that the system can help simplify and improve the way contest results are handled. Overall, the study demonstrates how the MEMU Tabulation System can benefit cultural events at ISUFST Dingle Campus by making the process more efficient, accurate, and fair for everyone involved.
Secure Key Management Schemes for High-Mobility VANET Environments El-Dalahmeh, Moawiah; El-Dalahmeh, Adi
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.243

Abstract

Secure key management remains a critical challenge in Vehicular Ad Hoc Networks (VANETs) due to high mobility, rapid topology changes, latency constraints, and intermittent connectivity. Traditional key management techniques designed for static networks inadequately address these dynamic VANET characteristics, resulting in compromised security, scalability, and performance. Additionally, emerging quantum computing capabilities pose significant threats to classical cryptographic algorithms, necessitating the integration of quantum-resistant methods. To tackle these issues, this study proposes a hierarchical hybrid key management scheme tailored explicitly for high mobility VANET scenarios. The proposed approach combines symmetric, asymmetric, and lattice-based post-quantum crypto graphic methods within a dynamic clustering framework. Vehi cles dynamically form clusters based on proximity and mobility, wherein cluster heads efficiently distribute symmetric keys to reduce computational overhead and latency. For inter-cluster and vehicle-to-infrastructure communications, asymmetric cryp tography and lattice-based quantum-resistant algorithms en hance security and resilience against quantum threats. Extensive simulations using realistic mobility models (SUMO integrated with NS-3) demonstrate significant improvements over existing schemes. The results indicate reductions of approximately 30 40% in key distribution latency and up to 30% in computational overhead, alongside robust scalability with increasing vehicle den sity. Moreover, the incorporation of post-quantum cryptography ensures future-proof security. This paper identifies open research challenges, including adaptive security management, blockchain integration, and compatibility with emerging communication standards, providing valuable insights for future developments in secure and efficient VANET key management.

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