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Center for Sustainable Development – Batangas State University TNEU

A Comprehensive Study and Networking Plan on ICT Infrastructure for Universities Development and Global Sustainability

This study relates to the assessment of an ICT network infrastructure of a large university. The study seeks to identify weaknesses, improve performance, enhance security, and ensure the infrastructure aligns with current and future needs. Included in the study areas were the inventory and documentation of the major components of the ICT system, performance evaluation,...

Digital transformation of maintenance processes for analytical instrumentation in the Philippine manufacturing industry

Remote work has been an integral part of business strategies across the globe since the onset of the COVID-19 pandemic. Though business operations and work functions have returned to their usual modes, remote access to business intelligence remains a crucial part of business operations, particularly in the manufacturing sector, allowing top executives and key decision...

Sustainability Analysis for Urban Bicycle Tourism of Ilo-Ilo City using GIS

Urban bicycle tourism refers to the recreational and enjoyable use of bicycles in navigating urban cities like Iloilo City. The city has already established an 11-kilometer cycling infrastructure within its boundaries. It is imperative to maximize its use to combat the negative impacts of rapid urbanization and promote safe and sustainable transportation. This paper shows...

Reliability & Sustainability of Electrical Distribution System for University Settings

Electrical power systems in university campuses must have a strong infrastructure, engage in proactive maintenance, and implement efficient outage management procedures in order to be reliable. The study covered techniques used to improve the dependability of electrical power systems in university settings, including fault analysis, reliability-centered maintenance, and predictive analytics. Furthermore, minimizing carbon emissions, maximizing...

Requirements Analysis in a Systems Engineering Process Approach to the Design of Gas Detection Systems for the Philippine Industries

The Philippines is experiencing a booming industrial sector, encompassing construction, automotive, manufacturing, petrochemicals, energy production, waste treatment facilities, and more. However, this growth brings forth a critical challenge: the need to prioritize worker safety, environmental preservation, and uninterrupted operations amid the presence and utilization of hazardous gases in production, manufacturing processes, and their by-products. This...

Synchronous End-to-End Vehicle Pedestrian Detection Algorithm Based on Improved YOLOv8 in Complex Scenarios

In modern urban traffic, vehicles and pedestrians are fundamental elements in the study of traffic dynamics. Vehicle and pedestrian detection have significant practical value in fields like autonomous driving, traffic management, and public security. However, traditional detection methods struggle in complex environments due to challenges such as varying scales, target occlusion, and high computational costs,...

CAScade event highlights Graduate School research for sustainability

The College of Arts and Sciences (CAS) of Batangas State University-The NEU recently held “CAScade – Advancing Graduate School Research towards Sustainability”. Organized by Master of Arts in Development Studies students in collaboration with the Center for Sustainable Development, the event took place on December 2, 2023, at the Student Services Center Building II, Seminar...

Developing an LTE Learning Material: Experiences from a University in a Developing Country

Remote learning has increased, especially in engineering courses that require digital platforms, due to the COVID-19 pandemic. However, the current curriculum doesn’t emphasize telecommunications, making LTE principles difficult for students to understand. To address this issue, researchers developed a 4G LTE learning system using MATLAB LTE Toolbox. MATLAB’s Live Scripts, Scripts, and App Designer implement...

Haar-CNN Cascade for Facial Expression Recognition

Recognizing emotions can aid in the interpretation and communication of non-verbal communication. Although deep neural networks perform well in automatically extracting and learning high-level representations of facial features from large amounts of multidimensional data, there is still a need for a face detection model to work fast for real-time applications. This working experiment investigates the...

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