Scopus ID: 105030171060
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-6
Conference Paper | Published: December 3, 2025
Abstract
Freight forwarding plays a crucial role in international trade, facilitating the movement of goods through transportation, customs clearance, and documentation management. However, manual processing of transportation transactions in freight forwarding poses various challenges, including inaccurate documentation, inefficient routing and carrier selection, and delayed shipment booking, which can result in disruptions, higher costs, and customer dissatisfaction. To address these issues, the development of a Freight Forwarding Management System is essential by digitizing and automating transactions. Freight forwarding companies can improve accuracy, efficiency, and visibility in their operations. The integration of web and mobile applications enables streamlined order handling, accurate quotations, and an organized inventory. The system's performance was evaluated using the ISO 9126 model, and it received an “Excellent” rating, demonstrating its functionality, reliability, usability, portability, efficiency, and maintainability. Moreover, the inclusion of a best-fit algorithm in the scheduler system allows for both automatic and manual selection of drivers and vehicles by intelligently matching the most suitable drivers and vehicles to specific shipments, the scheduler system optimizes resource allocation, ensuring efficient utilization of assets and improved delivery performance. Through technological innovation, freight forwarding can overcome manual processing challenges and enhance operational performance to meet customer needs effectively.
Scopus ID: 105030165159
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
Conference Paper | Published: December 3, 2025
Abstract
“TRACK2TRACK: A Digital Communication Plan on Passenger Information Dissemination for LRTA” outlines an innovative initiative aimed at revolutionizing the way information is disseminated to passengers within the Light Rail Transit Authority (LRTA). The project, known as TRACK2TRACK, leverages digital communication strategies, including real-time updates, interactive maps, and mobile applications, to provide accurate and timely information to commuters. Complementing this approach are eight short-form videos, strategically designed to convey essential aspects of the digital communication plan concisely. This comprehensive strategy aims to enhance overall transit experiences, improve system efficiency, and potentially serve as a model for other transit authorities seeking effective and engaging passenger communication solutions.
Scopus ID: 105030165309
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
Conference Paper | Published: December 3, 2025
Abstract
The development of reliable wireless networks is crucial for advancing sustainability. Not only does it facilitate remote work and telecommunication which are critical remote services such as telemedicine and distance education, they are also essential in supporting sustainable practices like the application of IoT in monitoring environmental conditions and energy usage. To ensure that these networks work optimally, it is essential that the datasets used in their development are not only accurate but are also distinct. This study contributes to this end by analyzing the datasets generated by the COST 2100, a model that is used extensively in wireless communications. Using ANOVA, the researchers determined if the dataset are indeed distinct as signals bounce about multiple clustering which use Multiple Input, Multiple Output (MIMO) Technology similar to modern wireless systems like 5G. Results show that the different variables or dimensions are distinct from each other. Thus, the datasets generated by COST2100 are suitable to be utilized in further preprocessing methods of wireless multipath clustering, ultimately contributing to building a more sustainable wireless communication system.
Scopus ID: 105030166329
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
Conference Paper | Published: December 3, 2025
Abstract
This study utilized purposive random sampling during beta testing of the game “O Ektos,” a 3D-PC real-time strategy game aimed at raising awareness about clean water and sanitation. Over 100 respondents, including BSIT students specializing in game development, web management, and digital arts, as well as executives and staff from the MWF organization, participated in the evaluation. Respondents tested the gameplay, promotional website, and overall aesthetics, assessing aspects such as mechanics, graphics, user interface, sound design, and storyline. Results showed that the game was well-received across all categories, highlighting its effective design and alignment with the United Nations' Sustainable Development Goal No. 6. The game's combination of contemporary technology, engaging gameplay, and meaningful content positions it as a feasible tool for raising awareness about water pollution and sanitation issues.
Scopus ID: 105030169295
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
Conference Paper | Published: December 3, 2025
Abstract
This study aims to improve the scholarship management process in the City of Marikina, located in the National Capital Region of the Philippines, under the leadership of Mayor Marcelino Teodoro. This paper proposes the development of a Scholarship Management System with Profile Analysis utilizing the Analytical Hierarchy Process and Decision Tree Algorithm. This system is expected to streamline applications, organize financial reporting, and optimize appointment scheduling, thus enhancing fairness, efficiency, and transparency in the scholarship awarding process. The Scholarship Management System, which leverages the Analytical Hierarchy Process and Decision Tree Algorithm, seeks to transform the traditional scholarship application process into an automated, efficient, and transparent process that not only relieves administrative burden but also facilitates fair and merit-based selection. The assessment of the system consists of 45 respondents that will evaluate our system. For the most part of the assessment process, it shows that the summary findings, the majority of respondents are “Very Satisfied” with the Verbal Interpretation based on ISO 9126 Software quality models, with “Strongly Agree” to the response indicating that there is space for improvement in the existing system. Overall, the proposed system not only simplifies the scholarship application process for students but also enables the city government to effectively manage the scholarship program. It introduces a level of efficiency and transparency that enhances the credibility of the program and ensures that the benefits reach the intended recipients. It represents a significant step towards digital transformation in the public sector, specifically in educational assistance.
Scopus ID: 105030211697
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
Conference Paper | Published: December 3, 2025
Abstract
According to the Philippines Commission on Higher Education (CHED) Circular Memorandum Order (CMO) 101 series of 2017, one of the allowed Elective Courses for the Electronics Engineering (ECE) Program is Instrumentation and Control which includes Advanced Instrumentation and Control Systems and Robotics. With these elective courses, there will be a need to have designated laboratory facilities and equipment which includes Mechatronics and Automation Equipment. This study aims to bridge the academe-industry gap by integrating a project based learning approach. The students of Jose Rizal University designed and developed a project-based four-story elevator trainer that became a platform for the real-world model of an actual elevator. Basic and Advanced Programmable Logic Controller (PLC) and Human Machine Interface (HMI) programming skills of the students were enhanced as they developed twenty comprehensive laboratory experiments on the elevator trainer. A 94.2% usability result indicates substantial effectiveness in learning mechatronics. T-tests for means and equal variance were used to analyze the significance of the elevator trainer in comparing the pre-test and post-test scores of ECE students. An alpha (p-value of 0.00000000013) for the accumulated test scores of each ECE student and (p
-value of 0.0000291) for the comparison of average mean score on the six areas: PLC, HMI, Variable Frequency Drive (VFD), pneumatics, electropneumatics, and motor control were found to be both smaller than the alpha of 0.05 for the target 95% confidence level. The study showed that the effectiveness of the elevator trainer was statistically significant in the learning of the ECE students in a project-based approach. The study highlights the need for a more hands-on project in each laboratory course to increase the quality of produced electronics engineering students in the Philippines by allowing them to be well-trained, globally competitive, and equipped with the necessary skills to become industry-ready.
-value of 0.0000291) for the comparison of average mean score on the six areas: PLC, HMI, Variable Frequency Drive (VFD), pneumatics, electropneumatics, and motor control were found to be both smaller than the alpha of 0.05 for the target 95% confidence level. The study showed that the effectiveness of the elevator trainer was statistically significant in the learning of the ECE students in a project-based approach. The study highlights the need for a more hands-on project in each laboratory course to increase the quality of produced electronics engineering students in the Philippines by allowing them to be well-trained, globally competitive, and equipped with the necessary skills to become industry-ready.
Scopus ID: 105031905094
2025 International Conference on Mobile, Military, Maritime IT Convergence (ICMIC), (2025), pp. 229-232
James Paul Tan, Margrette Yebes, ... Gabriel Avelino Sampedro
Conference Paper | Published: November 28, 2025
Abstract
In military and expeditionary (maritime) health care environments where isolation, safety, limited personnel, and resource constraints can threaten the delivery of frontline health care, access to timely and knowledgeable medical assistance can be extremely valuable. The purpose of this paper is to investigate the use of large language models (LLMs) in military and maritime health care environments by creating an AI-powered, Over-the-Counter (OTC) Medication Assistance Bot using the Mistral-7B model. The bot is intended to be deployed within tactical, or even shipboard systems, and it would empower autonomous, in-the-moment recommendations of medications for specific symptoms, while mitigating the risks associated with deploying personnel self-medicating through potential non-fundamental use errors. For this work, we employed Low-Rank Adaptation (LoRA) to fine-tune the system, and the bot was trained on a specific dataset derived from material on pharmacological sources, contextualized for medical practices in the Philippines. Based on evaluation the model achieved an average F1-score of 0.7296, which is above the 0.60-0.70 expected levels of performance for medical dialogue systems. The research shows promise for the model as it enhances combat and maritime healthcare readiness by providing consistent, low-bandwidth, and local medical assistance when connected medical supervision may not be immediately available.
Scopus ID: 105031884370
2025 International Conference on Mobile, Military, Maritime IT Convergence (ICMIC), (2025), pp. 274-277
Conference Paper | Published: November 28, 2025
Abstract
Accurate resource yield prediction is critical for military logistics, planning, and operational readiness, yet remains challenging due to numerous influencing factors such as environmental conditions, resource quality, and logistical constraints. This study examines the effectiveness of quantile-based data binning on classical machine learning algorithms in predicting resource yields pertinent to military applications. Furthermore, the effectiveness of Backpropagation Artificial Neural Networks (BP-ANN) and Naive Bayes classifiers with regression models such as K-Nearest Neighbors (KNN), Linear Regression, and Multi-Layer Perceptron Regressors (MLPRegressor) are compared using a robust dataset representative of global resource metrics. The results indicate that binning continuous data into quartiles substantially enhances model accuracy, precision, recall, and computational efficiency. In particular, the binned data enables the BP-ANN to achieve an accuracy of approximately 90.4%, with regression models such as KNN and MLPRegressor outperforming this benchmark by attaining accuracies exceeding 93%. Additionally, binning drastically reduced hyperparameter tuning duration from around 149 minutes to less than 10 minutes, underscoring its computational efficiency advantage. Overall, this research demonstrates that quantile-based data binning is a valuable preprocessing technique that improves predictive accuracy, reduces computational cost, and enhances the reliability of classical machine learning models for military resource forecasting.
Scopus ID: 105031905269
2025 International Conference on Mobile, Military, Maritime IT Convergence (ICMIC), (2025), pp. 170-173
Conference Paper | Published: November 28, 2025
Abstract
This study assesses the potential of advanced materials, specifically graphene, perovskites, and nanostructured ceramics to enhance the energy efficiency, durability, and environmental resilience of 5G and 6G communication systems deployed in harsh environments. A comparative evaluation was conducted based on electrical conductivity, thermal stability, mechanical strength, optical performance, and corrosion resistance, drawing on recent experimental data and life-cycle analyses. Graphene demonstrates electrical conductivity near 10^8 S/m and thermal conductivity up to 5000 W/m-K, enabling transistors with 200 times higher speeds and coatings reducing corrosion by over 90%. Perovskite-based devices achieve solar cell efficiencies up to 34% and optical modulators operating at 170 Gbps. Nanostructured ceramics offer low dielectric loss and stability above 1000°C, supporting high-frequency operation in challenging conditions. Integrating these materials is projected to extend device lifespans by up to 40% and reduce energy and cooling demands by 30%. These findings indicate that adopting advanced materials can significantly improve the performance and sustainability of next-generation communication infrastructure.
Scopus ID: 105031909872
2025 International Conference on Mobile, Military, Maritime IT Convergence (ICMIC), (2025), pp. 329-332
Conference Paper | Published: November 28, 2025
Abstract
This study proposes a Blockchain-Integrated Circular Economy Framework to improve lifecycle tracking and emissions reporting for maritime ICT and energy materials. The system combines Digital Product Passports, IoT telemetry, and smart contracts on a permissioned blockchain to record operational data and end-of-life events for batteries, photovoltaic modules, and navigation equipment. A parametric algorithm calculates emissions by combining production impacts, usage profiles, and recycling credits, while automated incentives promote material recovery. Synthetic data simulations illustrate the framework's ability to monitor degradation, quantify emissions, and enforce circularity incentives. Results indicate that production emissions dominate lifecycle impacts, highlighting the value of integrated tracking and verified recovery to support low-carbon maritime operations.