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RESEARCH

Weedy Rice Conserved Ex Situ Characterized Using Morphological and Simple Sequence Repeat (SSR) Markers

A clear understanding of genetic diversity in weedy rice is important in improving protocols for its conservation, ex situ. To this end, Asian collections of weedy rice together with accessions of the wild AA genome species Oryza nivara Sharma et Shastry and Oryza rufipogon Griffith, and the cultivated species, Oryza sativa L. were characterized using...Read More

Vertebrate faunal diversity in Mt. Calavite Wildlife Sanctuary, Occidental Mindoro, Philippines: An assessment using the Biodiversity Assessment and Monitoring System (BAMS)

Rich biodiversity is one of the Philippines’ greatest assets of which populations of flora and fauna continuously face massive threats due to anthropogenic interventions. This study in Mt. Calavite Wildlife Sanctuary (MCWS) is one of the pioneering research projects on vertebrate fauna in a permanent biodiversity monitoring plot that followed a nationally accepted system of...Read More

Various transmission codes for the control of bit error rate in both optical wired and wireless communication channels

This study clarifies the data error rates optimization for OFC/OWC channels based on different transmission codes. These codes that are namely multi bits/symbol digital pulse interval modulation (DPIM), multi bits/symbol pulse position modulation (PPM), nonreturn to zero inverted (NRZI), 4 bit data symbol/5 bit code (4B5B), and Manchester for upgrading optical wired/wireless communication systems. The optical power...Read More

Utilization of Iterative Method for Estimating Cancer Growth Rate

Disease such as cancer and parameter estimation methods are major concerns in the field of medicine. Understanding the pace at which cancer spreads is essential for gaining insights into the disease’s progression and devising effective treatment strategies. Cancer growth rates differ widely among individuals and types of cancer, emphasizing the need for thorough study and...Read More

Urban energy management system based on intelligent linker

Introduction: The use of machine learning (ML) approaches to improve energy utilization in smart urban environments has garnered significant attention in recent years. Objective: This research presents an innovative structure called a bi-fold mechanism-driven convolutional deep network (BMCDN) for estimating the energy performance of urban public facilities in urban energy management systems. Methods: The suggested...Read More

Understanding Employees’ Energy Saving in the Workplace: DR and the Philippines’ Realities

Understanding how employees act at work to save energy and the meaning for sustainability and environmental protection is essential. This research aimed to analyze the influences of Subjective Norms (SN), Descriptive Norms (DN), and Environmental Knowledge (EK) on employees’ intention to save energy (ISE) in the Philippines (PH) and the Dominican Republic (DR). The effects...Read More

Ultrasound-Based Machine Learning-Aided Detection of Uterine Fibroids: Integrating Vision Transformer for Improved Analysis

The primary objective of this study is to segment the uterine fibroids (leiomyoma) from the ultrasound images of the uterus through semantic segmentation, followed by second-order statistical feature extraction using the Gray-level Co-occurrence Matrix (GLCM). The next objective of the study is to compare the performance of the state-of-the-art method namely Vision Transformer (ViT) with...Read More

Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans

In such a brief period, the recent coronavirus (COVID-19) already infected large populations worldwide. Diagnosing an infected individual requires a Real-Time Polymerase Chain Reaction (RT-PCR) test, which can become expensive and limited in most developing countries, making them rely on alternatives like Chest X-Rays (CXR) or Computerized Tomography (CT) scans. However, results from these imaging...Read More

Truncating a densely connected convolutional neural network with partial layer freezing and feature fusion for diagnosing COVID-19 from chest X-rays

Deep learning and computer vision revolutionized a new method to automate medical image diagnosis. However, to achieve reliable and state-of-the-art performance, vision-based models require high computing costs and robust datasets. Moreover, even with the conventional training methods, large vision-based models still involve lengthy epochs and costly disk consumptions that can entail difficulty during deployment due...Read More

Towards Personalized Medication Management: A Novel Approach to Medication Reminder Using Wearable Sensors and IoT

This study proposed a novel approach to personalized medication management using wearable sensors and IoT (Internet of Things) technology. The aim is to develop a medication reminder system that is tailored to the individual needs of patients, taking into account their specific medication schedules and dosages. The system uses wearable sensors to monitor the patient’s...Read More

Threats on Natural Stand of Philippine Teak along Verde Island Passage Marine Corridor (VIPMC), Southern Luzon, Philippines.

This study documents the threats of the critically endangered Tectona philippinensis in the backdrop of the past conservation policies and projects. Twelve 20m x 50m plots were distributed in three altitudinal strata (S1= 50 – 100 m asl, S2= 150 to 200 m asl, and S3= 250 – 300 m asl) using stratified random sampling. Every tree was examined...Read More

Thematic Construction of Digital Visual Arts: Implications for Digital Pedagogy

This paper attempts to describe the signifier choice of student artists in thematic representations of digital visual arts and determine its implications for digital pedagogy. Utilising a qualitative approach to research and covering a corpus of six digital artworks of student artists, the semiotic analysis utilising Peirce’s (1991) sign modes showed the student artists’ preference...Read More

The VIP CORALS Marine Repository Hub: Laying foundations for science and discovery in the VIP

The Philippines is said to be the center of the center of marine shore fish biodiversity because of a key marine biodiversity corridor known as the Verde Island Passage (VIP), which has up to 1,736 species over a 10 x 10 km area (Carpenter and Springer 2005). The VIP harbors a vast and rich marine...Read More

The Effects of Drying Methods on the Physico-chemical Properties and Antioxidant Activity of Bilimbi (Averrhoa bilimbi)

Bilimbi (Averrhoa bilimbi) is an underutilized fruit usually grown in tropical countries and is widely added as souring agent in many Filipino dishes. However, it is undervalued and its utilization is limited due to short shelf life. Drying is one of the more popular and cheapest means of prolonging its storage life. This study aimed...Read More

The andrographolide content and biological activities of the ethanolic leaf extract of andrographis paniculata (Burm. f.) Ness

Andrographolide is a crystalline diterpene lactone present in Andrographis paniculata (AP) and considered as the most active and important secondary metabolite component of the said plant. Few reports are available regarding the biological activities of the AP plant extract. In this study andrographolide content of ethanolic extracts of different AP plant parts was determined using...Read More

Technology Foresight for Sensor Applications in the Philippine Manufacturing Industry Through Scenario Building

The advent of the fourth industrial revolution (4IR) offers promising improvements in operational efficiency and profitability for various industries, and can be a key component to leapfrog the many sectors of manufacturing in the Philippines. This will necessitate the reskilling and upskilling of Filipino automation engineers and instrumentation technicians to commission and maintain smart technologies...Read More

Technology Adoption and Usage Behaviors in Field Incident Management System Utilization

This study utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) model to analyze the adoption and utilization of field incident management system (IMS) in a manufacturing organization. The study specifically focused on the role of behavior as a key factor in the adoption and utilization of incident management system. Data was collected...Read More

Team On Beams: Exploring The Demographic And Socio-Economic Profile Of Small Scale Industry Workers

Construction industry covers more than 70 percent of the total work strength of Philippines. This entails clear regulations and working conditions among its workers. In an attempt to discover the current condition of the workers, this study determined the demographic and socio-economic profile of construction workers in Malvar, Batangas, Philippines. Further, this also determined the...Read More

Teaching English online in higher education: Understanding the social climate of online academic English courses

This study examined the social climate of fully synchronous online English classrooms and its effects on students’ learning outcomes in a mixed-methods design, engaging 196 first-year non-English major students experiencing their first fully synchronous online English classes on Zoom in one academic term (12 weeks), taught by foreign lecturers. The results reveal a very positive...Read More

Taxonomy and toxin production of Gambierdiscus carpenteri (Dinophyceae) in a tropical marine ecosystem: The first record from the Philippines

Morphological and phylogenetic analysis showed that the Gambierdiscus isolate from Bolinao, Philippines belongs to the species of G. carpenteri. It was morphologically more similar to the Merimbula strain than the subtropical Florida Keys strain. Growth and toxin production were also investigated at varying levels of temperature, salinity, and irradiance. Gambierdiscus are known to grow favorably...Read More

Synthesis of Hybrid Carbon Quantum Dots from Tamarindus indica and Mangifera indica Leaves for the detection of Mercury (Hg2+) Ion in Purified Water and Simulated Seawater

Mercury (Hg2+) ion is considered as one of the most lethal heavy-metal contaminants accounting for its extreme persistence, bioaccumulation, and toxicity. The objective of this study is to synthesize hybrid carbon quantum dots (h-CQDs) for the detection of Hg2+ ion in purified water and simulated seawater using ratiometric fluorescence assay between blue carbon quantum dots(b-CQDs)...Read More

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...Read More

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...Read More

Spoken-Digit Classification using Artificial Neural Network

Audio classification has been one of the most popular applications of Artificial Neural Networks. This process is at the center of modern AI technology, such as virtual assistants, automatic speech recognition, and text-to-speech applications. There have been studies about spoken digit classification and its applications. However, to the best of the author’s knowledge, very few...Read More

SPIKES: Skills and Performance Inventory as Kinesiological Assessment for Empowerment of Sepaktakraw Athletes

This research presents a comprehensive assessment of Sepaktakraw athletes at Batangas State University (BatStateU) TNEU, aiming to enhance athlete development through evidence-based methodologies. Recognizing the global trend towards universities’ pivotal role in athlete development, the study addresses the diverse landscape of sports programs, particularly focusing on Sepaktakraw in the Philippines. BatStateU’s visionary 5-year development plan...Read More

Spatial Multiplexing and Hybrid Beamforming Design For 5G Wireless System

The current 5G network needs to achieve a considerably larger link capacity and ultra-low latency to enhance mobile broadbands and support emerging mobile applications and massive IoT. Thus, implementing MIMO-OFDM Spatial Multiplexing and Hybrid Beamforming techniques helped increase the information capacity using multiple transmit and receive antennas. At the same time, these can improve the...Read More

Some Parameters of the Central Graphs of the Identity Graphs of Finite Cyclic Groups

The interplay of groups and graphs has been a subject of interest by mathematics researchers nowadays. One particular instance is the identity graph of a group introduced by Kandasamy . Moreover, the concept of a central graph of any graph is widely used by many graph theorists. The central graph of a graph G denoted...Read More

Socio-scientific issues-based electronic-learning material reveals a high incorporation of lifelong learning, ethical, and sustainability issues

This study aims to develop an SSI-based electronic learning material that will respond to the current educational landscape.  Socio-scientific issues are utilized in the e-LM recognizing it can be useful in resolving societal issues and assisting learners in developing scientific habits of mind. A Mixed-method research design was employed in the development and validation...Read More

Sitting Posture Notification and Monitoring System: A sensor application

Improper sitting posture is a common issue affecting many individuals, even young ones. Prolonged periods of sitting, whether at work, studying, or at home, can lead to back pain and other health problems. The study focused on the software’s material specifications and system flow required to create the system. The engineering design process involved using...Read More

Single-chip DC–DC buck converter design based on PWM with high-efficiency in light load

This research illustrates a DC–DC buck converter with a pulse width modulation (PWM) feedback control loop and capable of power supply voltage range from VDD to 2.5× VDD, which is equivalent to 5–14 V. It is a single chip with area of 1.379 × 0.813 mm2 using 0.5 µm HV CMOS process, where high voltage (HV) MOSFETs, a Dead-time detector, a...Read More

Single-chip DC–DC buck converter design based on PWM with high-efficiency in light load

This research illustrates a DC–DC buck converter with a pulse width modulation (PWM) feedback control loop and capable of power supply voltage range from VDD to 2.5× VDD, which is equivalent to 5–14 V. It is a single chip with area of 1.379 × 0.813 mm² using 0.5 µm HV CMOS process, where high voltage...Read More

Self-concept and social mobility of female faculty in higher education institution

Self-concept is one of the keys in a person’s social mobility. It will help him either to succeed or fail. This study determined the self-concept and the social mobility of the female faculty at Batangas State University JPLPC-Malvar, Philippines. Respectively, it dealt with the following: the respondents’ profile in terms of status of employment, department...Read More

Seedling Growth and Survival of the Endangered Pterocarpus indicus Willd. (Fabaceae) as Affected by Provenances and Biofertilizer Amendments

The endangered Pterocarpus indicus Willd., or narra, is one of the priority species for biodiversity conservation and protection in the Philippines. However, no studies were conducted about the impact of provenance in the seedling performance and survival of narra. The present study aimed to address this gap and study the impact of seed sources and...Read More

Schmitt-Trigger-Based Low Power SRAM Implemented Using 45-nm CMOS Technology

This paper presents a Schmitt-trigger-based SRAM with a separated read port, which significantly improves read static noise margin (RSNM) and consumes low energy. Post-layout simulation results show that the proposed design performed better than the conventional 6T SRAM cell. The SNM of the designed cell is 1.16 mV higher than the conventional 6T SRAM cell...Read More

S-invariant Termwise Addition of Reactions Via Reaction Vector Multiples (STAR-RVM) Transformation

Interest in connecting Chemical Reactions Network Theory (CRNT) and evolutionary game theory (EGT) arise viewing the tools of network in the analysis of evolutionary games. Here, the evolution of population species is studied as a biological phenomenon and describing the rate of such changes through a replicator system becomes a focus. A set of polynomial...Read More

Rhetorical Construct of the Self: An Exploration of Writings of Teacher Education Students with Delayed College Enrollment

Understanding people’s thinking and actions through exploring their word choice in written discourse can provide an objective analysis of their behavioural patterns in responding to life adversities. This study utilising quantitative and qualitative approaches is an attempt to investigate the coping mechanisms as response to the challenges of pursuing a bachelor’s degree of teacher education...Read More

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...Read More

Renal Cyst Detection in Abdominal MRI Images using Deep Learning Segmentation

Renal cysts are categorized as simple cysts and complex cysts. Simple cysts are harmless and complicated cysts are cancerous and leading to a dangerous situation. The study aims to implement a deep learning-based segmentation that uses the Renal images to segment the cyst, detecting the size of the cyst and assessing the state of cyst...Read More

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...Read More

Real Time Multi Target Capturing Using Partitioning in Robot Vision

In this study, the authors design and implement a real time system as an autonomous robot–camera to capture many targets in the scene. The robot has only one camera, but it is capable of capturing more than one moving object through proper movement. The system uses Gaussian Filtering for motion detection and then performs partitioning...Read More

Potentiality of nanosilica-doped carbon dots asfluorescence detector for copper (Cu2+) ionsin simulated wastewater

Industrialization has a major impact on the ecosystem and the natural water composition particularly in places close to cities andmanufacturing areas. Copper (Cu2+) ion is one of the heavy metals present in the industrial effluent and is considered to be a toxicheavy-metal contaminant accounting to its extreme persistence and bioaccumulation. Current techniques for determining Cu2+ions...Read More

Photosynthetic fluctuation accompanied by translocation of chloroplasts in Ulva conglobata (Ulvophyceae) grown under a low irradiance regime

Fluctuations in photosynthetic characteristics related to chloroplast translocation have been known in the foliose green algae Ulva lactuca var. latissima and var. rigida and U. mutabilis according to photoperiod. In Ulva, the single parietal chloroplast is found along the thallus surface wall and exhibits high photosynthetic activity during the light period; the chloroplast then moves towards the side walls and shows low...Read More

Philippine MSMEs Financial Empowerment: An Iterative Approach for Optimal Loan Implementation

This study integrates the Newton-Raphson method within the PHP framework to offer an easy-to-use loan management solution for Micro, Small, and Medium Enterprises (MSMEs) in the Philippines. MSMEs, which are essential to the country’s economy, frequently face financial difficulties such as a lack of specialized instruments and restricted access to loans. This research led to...Read More

Optimization of the Dip Coating Parameters for Depositing Cesium Lead Halide Perovskite Quantum Dot Films on Gallium Arsenide Substrates

Solution concentration and several dip cycles are key factors that determine the thickness and quality of perovskite quantum dot (PQD) films. Dip coating is an effective technique used for depositing solution-processed PQDs in substrates which are common passivation layers in solar cells. The optimum dip-coating parameters for depositing cesium lead halide PQDs on GaAs substrates...Read More

Optimization of Microwave-Assisted Extraction of Phenolic Compounds from Eleusine Indica using response Surface Methodology

Eleusine indica belongs to the Pocaceae family and is abundantly found in many tropical countries. Because of its anti-malarial, ntioxidant, anti-viral, and antidiabetic properties, among many others, studies are being aimed on developing time and costeffective methods that could efficiently extract its active components. This study focused on the optimization of the microwaveassisted extraction (MAE)...Read More

On the Use of Surfactant-Complexed Chitosan for Toughening 3D Printed Polymethacrylate Composites

This work reports a simple approach to prepare toughened 3D-printed polymethacrylate (PMA) composites using surfactant-modified chitosan (SMCS) particles at loadings between 2–10 wt%. Chitosan (CS) is modified with anionic surfactant, sodium dodecyl sulfate, via ionic complexation to facilitate compatibility and dispersion of CS to PMA matrix by non-covalent interactions between the components. The study successfully...Read More

On the use of metal-organic framework-based adsorbent from recycled PET bottles for Eriochrome Black T removal

In this study, a metal–organic framework (MOF) adsorbent from recycled polyethylene terephthalate (PET) bottles was developed to effectively remove Eriochrome Black T (EBT) dye present in synthetic wastewater. A sustainable, “greener” route of MOF synthesis was adopted involving microwave-enabled depolymerization of PET to terephthalic acid (TPA) and conversion of the latter to its organic salt...Read More

On the optimized fused filament fabrication of polylactic acid using multiresponse central composite design and desirability function algorithm

Efficient optimization of polymeric materials in fused filament fabrication 3D printing (FFF 3DP) is crucial for productivity, cost reduction, resource conservation, consistency, and enhanced part performance. This study employed a multiresponse central composite design of experiments (CCD-DOE) with the desirability function algorithm (DFA) to optimize printing settings on polylactic acid (PLA) using a commercial FFF...Read More

On the j-Edge Intersection Graph of Cycle Graph

This paper defines a new class of graphs using the spanning subgraphs of a cycle graph as vertices. This class of graphs is called j-edge intersection graph of cycle graph, denoted by EC(n,j). The vertex set of EC(n,j) is the set of spanning subgraphs of cycle graph with j edges where n≥3 and j is a nonnegative integer such that 1≤j≤n. Moreover, two distinct vertices are...Read More

On Some Properties of Non-traceable Cubic Bridge Graph

Graphs considered in this paper are simple finite undirected graphs without loops or multiple edges. A simple graphs where each vertex has degree 3 is called cubic graphs. A cubic graphs, that is, 1-connected or cubic bridge graph is traceable if its contains Hamiltonian path otherwise, non-traceable. In this paper, we introduce a new family...Read More

On matching number, decomposition and representation of well-formed graph

In this paper, we find a special type of non-traceable cubic bridge graph called well-formed graph whose central fragment is isomorphic to a hairy cycle and whose branches are pairwise isomorphic. We then show that a well-formed graph can be partition into isomorphic subgraph. Some properties of a well-formed graph such as perfect matching, matching number, decomposition...Read More

On cycle graphs

The Cycle Graph Cy ( G ) of a graph G is the edge intersection graph of all induced cycles of G . In this paper, necessary and sufficient condition on G such that Cy ( G ) is a connected graph, a tree, a bipartite graph is obtained. Non-existence of forbidden subgraph characterization for...Read More

Normalized Difference Vegetation Index (NDVI) Estimation based on Filter Augmented Imaging

The Normalized Difference Vegetation Index (NDVI) is one of the vegetation indices widely used by researchers from different countries for measuring vegetation in inland areas. NDVI measures the greenness of a plant or area by using radiance and reflectivity of light from the sun to calculate the difference between near-infrared (vegetation strongly reflects) and red...Read More

Non return to zero line coding with suppressed carrier in FSO transceiver systems under light rain conditions

This paper aims to simulate performance efficiency of carrier suppressed non return to zero line coding based FSO transceiver systems under light rain conditions with amplification units at 40 Gbps. The max. Q, BER and total optical power are simulated and demonstrated after FSO channel and PIN Photodetector Receiver under light rain weather conditions at maximum reach...Read More

New correlations and deposition envelopes for predicting asphaltene stability in crude oils

The precipitation and deposition of asphaltene are among the most pressing issues in the petroleum industry. This flow assurance issue may cause formation damage in porous media, the plugging and coking of wellbore and production pipelines and difficulties in the refining process. Such events lead to additional operating costs for the company. Therefore, knowing the conditions at which asphaltene may precipitate and...Read More

Nanotechnology for Clean and Safe Water: A Review

The demand for clean and safe water together with increasingly strict environmental regulations in both developed and developing countries has necessitated the need for a highly efficient yet low-cost water treatment technology to prevent the negative effects of pollutants on the human health and the environment. Nanotechnology holds great potential as a novel and promising...Read More

Modelling the Toughness of Nanostructured Polyhedral Oligomeric Silsesquioxane Composites Fabricated by Stereolithography 3D Printing: A Response Surface Methodology and Artificial Neural Network Approach

In this study, stereolithography (SLA) 3D printing was used to prepare toughened composites by facile blending of chemically compatible nanoscale polyhedral oligomeric silsesquioxanes (POSS) to commercial photoreactive resin. Due to the complex nature of 3D printing, the mechanical performance of the final parts cannot be simply determined or even estimated until they are manufactured and...Read More

Modelling and optimization of microwave assisted extraction of total phenolics in kakawate (Gliricidia sepium) as pesticide against black bean aphids (Aphis fabae)

Pest infestation is one of the serious problems of the agricultural sector in crop production and may even pose health hazards to humans. Aphis fabae, normally known as black bean aphid, is one of the main culprits that predominantly damage growing crops particularly beans, celery, and peas and may carry diseases as they multiply. Kakawate...Read More

Modelling and Experimental Investigation on the Differential Protection of Transmission Line

Due to the significant impact of the fault on power systems and the failure of protection devices, power system operators and researchers have given reliability a great deal of consideration. The modern IEC 61850 standard is used recently to improve communication systems in digital substations and allow signals to be shared between the devices. Differential...Read More

Modeling and Simulation of Infectious Disease Dynamics Utilizing SEIR Model

In the perpetual challenge against infectious diseases, the implementation of effective public health strategies requires a deep understanding of how illnesses work and how they spread, accurate estimation of parameters, and strategic planning for interventions. This paper explores the fundamental principles of the Susceptible – Exposed – Infectious – Recovered (SEIR) model, a widely utilized...Read More

Modeling and Simulation of Central Processing Unit Cooling Modes for Thermal Management

Efficient thermal management is essential for modern electronic devices, as excessive heat poses a risk of component damage. Consequently, students utilize numerical techniques to model and understand the thermal characteristics of electronic components and address the critical need for efficient thermal management. Specifically, this paper applied Newton’s law of cooling to analyze and optimize electronic...Read More

Mechanically and Thermally Enhanced 3D-Printed Photocurable Polymer Nanocomposites Containing Functionalized Chitin Nanowhiskers by Stereolithography

Additive manufacturing, or simply 3D printing (3DP), where objects are built through layer-wise material deposition, has gained significant academic and industrial attention as a result of the development of advanced and functional materials requiring rapid, customized, and flexible solutions. In the context of green manufacturing, diversifying environmentally and economically sustainable material portfolios is an essential...Read More

Matrix Phase Shift Based DPWM Technique To Achieve 90% Duty Cycle

For high-resolution, high-accuracy applications, re-cent DPWM (digital PWM) researches use long DFF arrays, resulting in clock skew that may compromise DPWM performance. This study proposed a DPWM based on a matrix phase shifter and clock gating technique which only selects a specific row of DFFs during operation depending on the required level of Vo. The proposed...Read More

Marine macrophyte composition during summer, southwest and northeast monsoons in Verde Island, Batangas City, Batangas, Philippines

Verde Island Passage is the world’s center of the center of marine shore fish biodiversity, located in southwestern Luzon Island in the Philippines. The passage is named after Verde Island, which is located at its middle. Although the island is located within a key biodiversity area, studies on its marine macrophyte biodiversity are scant. The...Read More

Long Short-Term Memory-based Static and Dynamic Filipino Sign Language Recognition

Filipino Sign Language (FSL) is a distinctive form of sign language with its own set of pose, gestures, and grammar, which can cause a challenge in terms of identifying it. Earlier researches have identified three categories of sign language recognition methods, these are the gloves-based, vision-based and hybrid. Existing studies are only limited to recognizing...Read More

Kinetics and Isotherm Studies on Adsorption of Hexavalent Chromium Using Activated Carbon from Water Hyacinth

The present study is focused on the use of activated carbon derived from water hyacinth (WH-AC) as adsorbent for the removal of Cr(VI) from aqueous solution. The optimized WH-AC was found to be mesoporous and considered as granular. The surface area of 11.564 m2/g was found to have a good adsorption capacity. The adsorption data...Read More

Investigating construction delays in cold storage projects in the Philippines

Construction delays pose significant challenges affecting project timelines, budgets, and quality standards globally. This study focuses on bridging the knowledge between differences of construction between cold storage facility projects among other types of projects and identifying influential factors causing delays in cold storage construction projects in the Philippines. Through a questionnaire survey including 30 critical...Read More

Intelligent Control for Automated Fish Feeding System in an Aquaponic Environment

Fish feeding in aquaponics presents challenges in accurately estimating and distributing feed, risking the health of both fish and plants due to potential water contamination. To address these issues, our study employs computer vision and deep learning to automate feed dispensing in aquaponics farms, ensuring precise feed quantities. We utilize the Mask R-CNN algorithm to...Read More

Integration of 5G Technology in IoT: Applications in the Philippine Industries

This research delved into the symbiotic connection between 5G technology and the Internet of Things (IoT), aiming to explore how the integration of these two cutting-edge technologies could revolutionize various industries. The primary purpose was to assess the impact of 5G on the functionality and efficiency of IoT applications, with a focus on improved connectivity...Read More

Integrated Weed Estimation and Pest DamageDetection in Solanum melongena Plantationvia Aerial Vision-based Proximal Sensing

The Philippine government’s effort to transcend agriculture as an industry requires precision agriculture. Remote- and proximal-sensing technologies help to identify what is needed, when, and where it is needed in the farm. This paper proposes the use of vision-based indicators captured using a low-altitude unmanned aerial vehicle (UAV) to estimate weed and pest damages. Coverage...Read More

Influence of light, water motion, and stocking density on the growth and pigment content of Halymenia durvillei (Rhodophyceae) under laboratory conditions

The tropical red seaweed Halymenia durvillei Bory de Saint Vincent is a potential source of the high-value pigments, r-phycoerythrin (RPE) and r-phycocyanin (RPC). The unique properties of these pigments find many applications—from food to cosmetics, pharmaceuticals, and biomedical research. This study aimed to improve the land-based culture technology of H. durvillei by determining the appropriate...Read More

Improving Rice Farming Productivity through Solar-Powered Electronic Stirring with SMS Notifications

This research project aims to address the challenges farmers face in drying paddy rice to produce high-quality paddy grain due to a lack of manpower. The study presents an Electronic Stirring Rice Paddy system with SMS Notification and Solar Charging that stirs the rice every thirty minutes until it is dried, with features that notify...Read More

Impact Assessment of Mulat Sa Aklat Reading Program for Sustainability and Continuous Quality Improvement

This research rigorously assessed and evaluated the MULAT SA AKLAT Reading Program, focusing on its impact, effectiveness, sustainability, and potential for continuous quality improvement. Objectives encompass analyzing participant demographics, baseline knowledge, session-wise progress, participant evaluations, and the adaptability of educational approaches. The program fosters inclusive participation, unveiling varied baseline knowledge and expectations. Positive trajectories in...Read More

Hydroponic System for Effective Microplastic Filtration in the Sea: A Revolutionary Low-Cost Method

The Low-Cost Microplastic Filtration System is a device designed to aid in the resolution of the growing problem with microplastics. With an estimated 48 million shopping bags and 164 million sachets used daily (Philippine research uncovers microplastics inside a regularly eaten fish, 2020), the Philippines is one of the most prolific users of single-use plastics...Read More

Hybrid Lighting System for Indoor Crop Production

Lighting systems for indoor crop production facilities face consistency, quality of lighting, and energy efficiency challenges. In this work, these challenges were addressed by developing a natural light collection system that allows sunlight to be concentrated and transmitted via optical conduits into the growing areas of an indoor crop production facility and supplementing it with...Read More

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...Read More

Gas Sensor-Based Nondestructive Testing for Jackfruit Ripeness Level

Jackfruit is a fruit native to South and Southeast Asia that is now cultivated all over the world due to its adaptability, as it can be eaten both ripe and unripe. This study was conducted to accurately identify the Jackfruit’s ripeness. Four MQ families have been identified as the most effective for classifying the ripeness...Read More

Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal tract diseases

The challenging task of diagnosing gastrointestinal (GI) tracts recently became a popular research topic, where most researchers performed extraordinary feats using numerous deep learning (DL) and computer vision techniques to achieve state-of-the-art (SOTA) diagnostic performance based on accuracy. However, most proposed methods relied on combining complex computational methods and algorithms, causing a significant increase in...Read More

Framing teaching internship experience in the new normal through metaphorical lens

Teaching internship plays a crucial role in providing aspiring educators with invaluable real-world classroom exposure, translating theoretical knowledge into practical teaching skills. Hence, this qualitative research study aims to explore the teaching internship experience using metaphors among thirty (30) prospective teachers in one state university in the Philippines, framed within the context of the new...Read More

FPGA-Based Radio Transceiver Using the TV White Space for Disaster Response Operation

In this paper an FPGA-based radio transceiver that operates on a frequency band from unused TV white space – specifically 512 MHz – 518 MHz – is presented. The investigation was done to introduce an application of TV white space and FPGA hardware in creating a communication system for disaster rescue operations and in hopes...Read More

Formulated Hand Sanitizer Utilizing Passion Fruit (Passifloraedulis) Leaf Extract as an Active Ingredient

Passiflora edulis leaf extracts were added as an active ingredient for alcohol-based hand sanitizer (ABHS). Matured leaveswere air-dried, powdered, and soaked in methanol (1:10, w/v) for 24 hours. The solvent-free crude extract was used toformulate hand sanitizer utilizing varying amounts of leaf extract (1,3 and 5% w/w). The antimicrobial activities of the leafextracts and the...Read More

Filipino Teachers’ Perspectives on the Effectiveness of Online Grammar Checkers and Plagiarism Detectors

Online grammar checker and plagiarism detectors are online tools or software which allows users to correct their works providing a reliable basis of right grammar and avoid plagiarism. This study used a descriptive research method to assess the perspectives of selected university instructors and professors handling research and writing courses on the effectiveness of online...Read More

Facial emotion detection using thermal and visual images based on deep learning techniques

The main objectives of this study are (i) to determine the different emotions, such as happy, anger, neutral, and sad, based on the visual and thermal images for facial expression recognition of healthy individuals; (ii) to train the modified pre-trained models, such as DenseNet-121, ResNet-50, and VGG-19 based on transfer learning technique, using the visual...Read More

Exploring the Performance Impact of Neural Network Optimization on Energy Analysis of Biosensor

With the popularization of new energy vehicles, lithium battery systems, as the main components of new energy vehicles, have the characteristics of short life cycles and harmful substances inside. The green treatment of lithium battery systems has become a research hotspot. Disassembly and recycling are essential means of reusing waste in lithium battery systems. Due...Read More

Exploring the impact of gamified learning on positive psychology in CALL environments: A mixed-methods study with Thai university students

Despite growing interest in both fields, research into how positive psychology principles and gamification can be integrated in Computer-Assisted Language Learning (CALL) environments and their impact on language learning outcomes remains insufficiently explored. Thus, this study intends to contribute by implementing a 10-week gamified learning program using the Quizizz application within CALL classrooms at a university in...Read More

Exploring the concept of pedagogical resilience during the COVID-19 pandemic: Teachers’ perspectives from Thailand and the Philippines

This brief research report aimed to explore the concept of pedagogical resilience and how teachers in Thailand and the Philippines build resilience in pedagogy during the COVID-19 pandemic. Employing the qualitative research design, the data were obtained from the focus group discussion (FGD) and semi-structured interviews with 12 teachers, 8 of whom were from 1...Read More

Estimating Yearly Accumulated Rainfall in Batangas City: An Analysis Through Modeling and Simulation

This research investigates heavy rainfall dynamics in Batangas City, employing the trapezoidal rule and quadratic regression for cumulative rainfall estimation and curve fitting. Utilizing multi-year datasets sourced from the Weather and Climate website, the study not only addresses immediate impacts but also discerns long-term trends, contributing vital insights into potential indicators of climate change. The...Read More

eS2MART Teaching and learning material in chemistry: Enhancing spatial skills thru augmented reality technology

This study developed a teaching and learning material (TLM) in chemistry entitled eS2MART TLM with integrated augmented reality (AR) technology and assessed its effect on students’ learning gains in terms of spatial skills and students’ learning experience on the use of augmented reality as a tool in understanding atomic theory, chemical bonding and molecular structure...Read More

Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears

In this work, we empirically evaluated the efficiency of the recent EfficientNetB0 model to identify and diagnose malaria parasite infections in blood smears. The dataset used was collected and classified by relevant experts from the Lister Hill National Centre for Biomedical Communications (LHNCBC). We prepared our samples with minimal image transformations as opposed to others...Read More

Embracing Diversity: Empowerment of Filipino Pre-Service Teachers for Inclusive Education

The increasing diversity in schools requires in-depth understanding of pedagogical approaches to teach diverse populations. This requirement demands Teacher Education Institutions to develop among pre-service teachers positive attitude towards inclusion and prepare and train them to deliver inclusive practices in a mainstream classroom. This study investigated the attitude towards inclusive education, perceived level of readiness...Read More

Drying Characteristics of Herbs, Spices, and Medicinal Plants

The acceptability of food is significantly increased by the addition of herbs, spices, and medicinal plants. These biomaterials improve the shelf-life of food, delay its oxidation, and impart health-promoting properties as natural therapies. The physical and chemical properties of aromatic and medicinal plants are determined by their moisture content since water is the most significant...Read More

Distribution and Management of the Invasive Swietenia macrophylla King (Meliaceae) at the Foot of a Protected Area in Luzon Island, Philippines

Invasive alien plant species (IAPS) pose one of the most significant threats to native biodiversity. Swietenia macrophylla, or big leaf mahogany, is among the most threatening invasive plants in the Philippines. This article aimed to formally document the presence of S. macrophylla along the edges of Mt. Banahaw de Nagcarlan, a protected area on Luzon Island, Philippines. The...Read More

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...Read More

Differences in the parasitic effects of a bopyrid isopod and rhizocephalan barnacle on the portunid crab, Charybdis bimaculata

Bopyrid isopods and rhizocephalan barnacles are obligate parasite crustaceans which harm their decapod hosts. However, to the best of our knowledge, studies have not compared which of these parasites has a greater parasitic effect on its hosts. Here, the parasitic effect of the bopyrid isopod, Allokepon hendersoni, and an unidentified sacculinid rhizocephalan species, infesting the...Read More

Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block

In this work, a proposed Multi-Fused Residual Convolutional Neural Network (MFuRe-CNN) with Auxiliary Fusing Layers (AuxFL), a Fusion Residual Block (FuRB) both with Alpha Dropouts (αDO) diagnosed various endoscopic images of gastrointestinal (GI) conditions or diseases. The proposed MFuRe-CNN handled four cases, including colons with ulcerative colitis, polyps, esophagitis, and a healthy colon, sourced from...Read More

Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion

Due to the unforeseen turn of events, our world has undergone another global pandemic from a highly contagious novel coronavirus named COVID-19. The novel virus inflames the lungs similarly to Pneumonia, making it challenging to diagnose. Currently, the common standard to diagnose the virus’s presence from an individual is using a molecular real-time Reverse-Transcription Polymerase...Read More

Development of a TPACK-Based Professional Development Framework for the New Normal in Education

The role of technology in the delivery of education in this time of pandemic help teachers in the delivery of lessons and student learning. This study examined the competence on online technological pedagogical content knowledge (TPACK) of a sample of faculty members and their online teaching attitude and ability and develop a professional development framework...Read More

Development and Validation of a Survey Instrument on Knowledge, Attitude, and Practices (KAP) Regarding the Educational Use of ChatGPT among Preservice Teachers in the Philippines

ChatGPT has gained popularity among Philippine educational institutions due to its versatility and usefulness in academic activities. However, educators have raised concerns about the ethical issues, academic dishonesty, and technology dependence associated with its use. This study aimed to develop and validate an instrument called KAP-CQ39 that assesses the knowledge, attitudes, and practices of preservice...Read More

Development and performance evaluation of a self-sustaining electric generator with automatic control

Energy plays an important role globally. Industrial growth, coupled with high system losses, has resulted in a major demand-supply imbalance resulting in an energy shortage with a devastating effect on the economies of countries. The pollution brought by the combusting energy source and the price-increasing-motion of fuel tends people to explore and use greener and...Read More

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...Read More

Design of Patient Specific Hip Prosthesis based on Finite Element Analysis: A Comparative Study

This study aims to develop a patient-specific hip implant for osteoarthritis conditions and to compare with intact and conventional implant. The femoral bone with head and shaft region was segmented from the pelvic griddle and converted into 3D model. The parameters such as femoral ball diameter, shaft length, acetabular cup diameter, and neck angle were...Read More

Design of an Exoskeleton Robot for Lower-Body Rehabilitation

This paper presents a design of an exoskeleton robot to aid in lower-body rehabilitation of patients who have trouble with walking. The robot is intended for people who suffered from spinal cord injuries, brain trauma, cerebral palsy, Parkinson’s disease, and stroke. Specifically, a robot for rehabilitation can aid therapists and patients by letting the robot...Read More

Design of a control architecture for an underwater remotely operated vehicle (ROV) used for search and rescue operations

A control system architecture design for an underwater ROV, primarily Class I – Pure Observation underwater ROV is presented in this paper. A non-linear plant model was designed using SolidWorks 3D modeling tool and is imported to MATLAB as a 3D model. The non-linear modeled plant is linearized using the MATLAB linear analysis toolbox to...Read More

Design and Development of Anti-Occupation System for Charging Piles of New Energy Vehicles Based on Deep Learning

Aiming at the problem that New Energy Vehicles (NEV) charging piles are illegally occupied, this paper puts forward a design and development scheme of anti-occupation system based on deep learning. Firstly, a comprehensive system architecture is designed, including license plate recognition module and occupancy judgment module, in order to realize the recognition and state monitoring...Read More

Descriptive Analytics and Interactive Visualizations for Performance Monitoring of Extension Services Programs, Projects, and Activities

Providing universities with high technology-enabled automation tools to support the administrative decision-making processes will enable them to achieve their objectives. For an institution to succeed in its everyday tasks, it should come up with the emerging and modernized management services constituted, among others, by cloud, mobile, and business analytics technology. With this, the institution’s operations...Read More

Customs Administration Students Usage of Metacognitive Knowledge in their Internships

Educators have the responsibility of assessing their students’ metacognitive knowledge and identifying students who may need support in developing effective metacognitive skills and providing them with necessary learning intervention. This study assessed the customs administration students’ metacognitive knowledge and its usage in their internships. The dimensions, declarative knowledge, procedural knowledge and conditional knowledge were correlated...Read More

Current construction and demolition waste management strategies for Philippine construction sector – A systematic literature review

The construction industry continues to be one of the primary drivers of a country’s economic progress. As of 2022, the Philippines’ construction sector had an annual growth rate of 9.2% and continues to increase due to the Build! Build! Build! (BBB) program. However, the construction sector is globally known for regularly consuming more raw materials...Read More

CTAB-Si Nanoparticles Derived from Rice Husk Ash for Nitrate Ions Removal in Simulated Wastewater

In this study, silica (Si) nanoparticles derived from rice husk ash is coated with cetyltrimethylammonium bromide (CTAB), a cationic surfactant, and used as adsorbent of nitrate ion in wastewater. CTAB functionalized Si (CTAB-Si) nanoparticles were characterized using scanning electron microscope (SEM), energy dispersive X-Ray (EDX), dynamic light scattering (DLS) Fourier transform infrared spectroscopy (FTIR) and...Read More

Coupled Finite Element Method-Boundary Element Method on Microstrip Transmission Line

Combining the Finite Element Method (FEM) and Boundary Element Method (BEM) opened a wide array of solutions for ordinary and partial differential equations deemed helpful for engineers and scientists. These methods were applied in various branches of sciences and engineering, especially in computational electromagnetics. This study used computational software to illustrate the coupled FEM-BEM solution...Read More

Conductive Filament Composites from Waste Battery Rod-Derived Exfoliated Graphite for Fused Deposition Modeling 3D Printing: A Two-Level Factorial Design Optimization Study

This study used carbon rods from spent zinc-carbon batteries as a source of exfoliated graphite (EG) to produce conductive filament composites for fused deposition modeling 3D printing. The EG filler was prepared through microwave irradiation, while the resulting 3D printable electroconductive EG composites were prepared using polylactic acid (PLA) and polyethylene glycol (PEG) as the...Read More

Concentration Robustness in LP Kinetic Systems

For a reaction network with species set S, a log-parametrized (LP) set is a non-empty set of the form E(P,x∗)={x∈RS>∣logx−logx∗∈P⊥} where P (called the LP set’s flux subspace) is a subspace of RS, x∗ (called the LP set’s reference point) is a given element of RS>, and P⊥ (called the LP set’s parameter subspace) is...Read More

Comparative evaluation of alkali precipitation and electrodeposition for copper removal in artisanal gold smelting wastewater in the Philippines

Alkali precipitation and electrodeposition for copper removal in artisanal gold smelting wastewater were evaluated. Alkali precipitation was done by dosing the wastewater with sodium hydroxide solution. Electrodeposition was conducted at operating current of 4 A for 3 and 6 h. Alkali treatment exhibited 99.83% removal efficiency, albeit residual copper concentration was still above effluent standards...Read More

Comparative analysis in the prediction of early-stage diabetes using multiple machine learning techniques

Diabetes is caused by high levels from blood glucose and it is characterized as a chronic disease, and also will disrupt fat and protein absorption. The levels rise from blood glucose because it cannot be burned in the cells from the pancreas because of the deficiency of insulin secretion or the insulin produce by the...Read More

Community Stakeholder’s Knowledge and Awareness of the Ecological and Socio-Economic uses of ManGroves in Calatagan, Batangas, Philippines

Mangrove forests are a complex assemblage of flora that plays significant roles in the sustainability of human and environmental well-being for numerous reasons. However, a lot of mangrove forests have been converted for other purposes and uses in the past years. Limited knowledge about unsustainable aquaculture, coastal infrastructure, urban development, pollution, and overexploitation of mangrove...Read More

Cognition toward the Mother Tongue, Attitude toward English, Chavacano, and Filipino: A Structural Equation Modeling Approach with Bootstrap Analysis

This quantitative investigation involved 1,054 pre-service teacher respondents with mean age = 20.21 (SD=3.124). This cross-sectional study gathered data through the creation of four research tools validated and pilot tested. Moreover, three of the research tools (AChavQ, AFilQ, AEngQ) were determined to be of ‘excellent’ reliability, while one is of ‘acceptable’ reliability (CogMT). The study...Read More

Coffee Leaf Rust Detection Using Convolutional Neural Network

Rust is a severe disease affecting many productive coffee regions. It is caused by a pathogenic fungi that attacks the underside of coffee leaves and it is characterized by the presence of yellow-orange and powdery points. If not treated, rust can cause a drop in coffee production of up to 45%. In this sense, this...Read More

Classification and Percent Severity of Pechay DamageCaused by Cutworm (Spodoptera litura)

Agriculture is one of the most important sectors of any country, especially the Philippines. Pechay is the sixth-ranking crop for agricultural production in Batangas, according to the Philippine Statistics Authority (PSA). However, pechay is constantly threatened by different pests, such as the occurrence of cutworm (Spodoptera litura), which primarily feeds on its leaves, stalks, and...Read More

Characterization of photosynthesis and growth of Monostroma latissimum (Ulvophyceae) collected from the intertidal area in Kochi, Japan

The photosynthesis and growth of the commercially important and edible green seaweed, Monostroma latissimum (Ulvophyceae), from a naturally occurring population in the intertidal area were examined in the laboratory. The natural population inhabits the middle to upper intertidal area and is usually attached to rocks. Cultivation occurs mostly in the shallow and calm waters under...Read More

Career Track Prediction using Deep Learning Model Based on Discrete Series of Quantitative Classification

In this paper, a career track recommender system was proposed using Deep Neural Network model. This study aims to assist guidance counselors in guiding their students in the selection of a suitable career track. It is because a lot of Junior High school students experienced track uncertainty and there are instances of shifting to another...Read More

Bitter Melon Crop Yield Prediction using Machine Learning Algorithm

This research paper aimed to determine the crop bearing capability of bitter melon or bitter gourd more commonly called “Ampalaya” in the Filipino language. Images of bitter melon leaves were gathered from Ampalaya farms and these were used as main data of the research. The leaves were classified as good and bad through their description...Read More

BatStateU Integrated Response Drone (BIRD): A Hybrid Unmanned Vehicle for Disaster Response

Drones, or Unmanned Aerial Vehicles (UAVs), are already being utilized to help people in need worldwide. In this report, the authors designed an unmanned vehicle composed of a flight mechanism & power supply, frame, and different payloads for different missions. These also include the design of different landing gears that are mechanically replaceable depending on...Read More

Automating mosquito taxonomy by compressing and enhancing a feature fused EfficientNet with knowledge distillation and a novel residual skip block

Identifying lethal vector and non-vector mosquitoes can become difficult for a layperson and sometimes even for experts, considering their visual similarities. Recently, deep learning (DL) became a solution to assist in differentiating the two mosquito types to reduce infections and enhance actions against them. However, the existing methods employed to develop a DL model for...Read More

Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network

Due to the struggles of developing countries in coping with widespread coffee leaf diseases and infestations, the quality and quantity of coffee-based commodities have reduced significantly. This paper proposes a solution to this problem using Deep Convolutional Neural Networks (DCNN) that classifies seven coffee leaf conditions. Unlike other studies, this work proposed a novel Triple-DCNN...Read More

Automated Computer-Aided Detection and Classification of Intracranial Hemorrhage Using Ensemble Deep Learning Techniques

Diagnosing Intracranial Hemorrhage (ICH) at an early stage is difficult since it affects the blood vessels in the brain, often resulting in death. We propose an ensemble of Convolutional Neural Networks (CNNs) combining Squeeze and Excitation–based Residual Networks with the next dimension (SE-ResNeXT) and Long Short-Term Memory (LSTM) Networks in order to address this issue...Read More

Augmented Reality as a Tool for Enhancing Metacognitive Knowledge in Chemistry

This study developed a Teaching and Learning Material (TLM) with Augmented Reality (AR) to enhance the students’ metacognitive knowledge, namely declarative, procedural, and conditional knowledge in General Chemistry. The developed TLM has three components: the printed learning material that contains the AR trackers; a database of tactile 3D objects and animations that served as metacognitive...Read More

Association Between Physical Fitness, Body Fat, BMI, and Physical Activity Level with Learning Outcomes in Elementary School Students

The main problem in achieving learning outcomes in physical subjects at the primary school level is very complex. This study aimed to investigate the relationship between physical fitness, body fat, BMI, and physical activity levels with physical education learning outcome in elementary school students. A cross-sectional study was conducted to answer the research questions. This...Read More

Assessing the Compliance of a Coastal Municipality to the Ecological Solid Waste Management Act of 2000 (RA 9003)

To bring about a significant change in the SWM situation in the Philippines, the Ecological Solid Waste Management Act of 2000 (RA 9003) was enacted to provide local government units with frameworks that would help them solve the looming garbage problem in the country. Despite the presence of the decree, managing wastes remains a problem...Read More

Assessing Air Force Officers’ Satisfaction on the Use of SOC Virtual Classroom: Input to Professional Military Education e-Learning Design and Implementation

As the power of Learning Management System (LMS) in supporting classroom instruction has been observed in Higher Education Institutions (HEIs), only a few have been documented in military environment using this kind of learning technology. This paper is the first attempt to investigate the satisfaction of air force officers on the use of Squadron Officer...Read More

ASEAN identity in higher education through literary pedagogy perceived by teaching personnel at universities in Southern Tagalog Region, the Philippines

As regionalism has become a prime interest within the Asia Pacific, participating member states of the Association of Southeast Asian Nations (ASEAN) aspire to consolidate unity despite cultural diversity through forging an ASEAN identity. Institutions of higher learning are expected to explore educational innovations and curriculum reforms to facilitate the regional identity formation. Hence, this...Read More

Application of PID algorithm in temperature control of pig houses farmers’ mental health from the perspective of social ecological system and its implications for agricultural production efficiency

This study investigates the application of PID algorithm-based temperature control systems in pig house environmental management and its impact on agricultural production efficiency. Through field experiments conducted at Dongshun Aquaculture Ecological Development Co., Ltd. in Nanping City, Fujian Province, we evaluated the system’s effectiveness in energy efficiency, production performance, and animal health. Results show that...Read More

Analyzing STEM Competencies Among Filipino High School Students: An Item Response Theory Approach

The 2022 PISA scores highlighted a significant concern in the Philippine education system, showing Filipino students ranking sixth lowest in STEM competencies among 81 participating countries. This study probes into the STEM abilities of high school students from the Bicol Region to determine if the national findings are indicative of regional educational challenges. By implementing...Read More

An overview of remote monitoring methods in biodiversity conservation

Conservation of biodiversity is critical for the coexistence of humans and the sustenance of other living organisms within the ecosystem. Identification and prioritization of specific regions to be conserved are impossible without proper information about the sites. Advanced monitoring agencies like the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) had accredited that the...Read More

An Intelligent Parking Lot Management System Based on Real-Time License Plate Recognition

This research study proposes an Intelligent Parking Lot Management System (IPLMS) utilizing real-time license plate recognition technology to address parking management challenges arising from rapid urbanization and increased vehicle ownership. The system enhances the four-stage license plate recognition process (preprocessing, positioning, character segmentation, and character recognition) with variable precision recognition, recognition result voting, and idle/active...Read More

An Enhanced Segmentation and Deep Learning Architecture for Early Diabetic Retinopathy Detection

Diabetic retinopathy is a serious complication needing prompt diagnosis and medication to avert vision loss. Lesions caused by the condition are difficult to track because they are hidden behind the eye’s structure in small and subtle forms. To extract relevant features., we created a robust pipeline using multiple preprocessing techniques., image segmentation architecture (DR-UNet) with...Read More

AI in Tourism: Leveraging Machine Learning in Predicting Tourist Arrivals in Philippines using Artificial Neural Network

Tourism is one of the most prominent and rapidly expanding sectors that contribute significantly to the growth of a country’s economy. However, the tourism industry has been most adversely affected during the coronavirus pandemic. Thus, a reliable and accurate time series prediction of tourist arrivals is necessary in making decisions and strategies to develop the...Read More

Administrative Support and Job Satisfaction of Private School Teachers

The educational system today is anchored with serious challenges. The administration, together with the teachers, has a focal factor on the constant changes happening in the educational setting. To address the needs of the teachers to grow personally and professionally, administrative support is one of the vital factors that have given emphasizes. The purpose of...Read More

Addressing Food Security in Batangas, Philippines through Backyard Tilapia Farming

The onset of the COVID-19 pandemic showed how food supply could become unstable when lockdowns and curfews hamper transportation and delivery logistics. Difficulties arose in producing and selling agricultural products (e.g., vegetables, fruits, meats, and others). Supermarkets had limited or no stock of food supplies. In other cases, deliveries were postponed or canceled due to...Read More

Acquired Communicative Skills of Graduates: Input to Designing Language Instructional Portfolio

Language acquisition takes a long process as it requires initiatives upon having set good attitudes and positive learning behavior. It is said that learning the language particularly English would not be automatic or innate, even born native speakers should have to learn the basic rules through varied skills and strategies to be communicative competent. This...Read More

Acceptance Analysis of IWB Systems in Education using UTAUT2 Model: The Moderating Role of Perceived Technological Innovations

Interactive Whiteboard (IWB) Systems are increasingly being used to replace traditional whiteboards in educational activities, making them more efficient and interesting for both teachers and students. However, no studies have been conducted to investigate how age, educational level, and employment status can impact the adoption and usage of IWB systems in the educational setting. The...Read More

A Smart Building Design using Cyber-Physical System Modeling

Due to the demand for IoT technologies, the concept of CPS was explored in this paper. CPS refers to the coordination and communication of physical processes and computing elements connecting the physical and digital worlds. With the increasing number of smart buildings, the researchers considered the automation control of various facilities in a smart building...Read More

A pivotal restructuring of modelling the control of COVID-19 during and after massive vaccination for the next few years

This paper presents a new mathematical feedback model to demonstrate how direct observations of the epidemiological compartments of population could be mapped to inputs, such that the social spread of the disease is asymptotically subdued. Details of the stabilization and robustness are included. This is a pivotal restructuring of modelling the control of corona virus...Read More

A participatory action research (PAR)-influenced mentoring program forgraduate students

The study described a mentoring program of a state-funded research and its effects on research and reflective practices to graduate students. Participatory Action Research (PAR), designed as a methodical and program framework, engaged nine mentors (researchers of a state-funded research) and 29 graduate students (purposively invited) to training-based mentoring (workshops and field work), small group...Read More

A Novel Screening Tool System for Depressive Disorders using Social Media and Artificial Neural Network

Depression is one of the most common mental health disorderswith over 264 million people suffering from it. Improvement in screening depressive disorders can lead to earlier treatment. However, some of the depression screening tools today have constraints and could be difficult to administer due to a lack of cooperation between patient and professional. It is...Read More

A note on the generator subgraph of a graph

Graphs considered in this paper are  finite simple undirected graphs. Let G = (V(G), E(G)) be a graph with E(G) = {e1, e2,…, em}, for some positive integer m. The edge space of G, denoted by ℰ(G), is a vector space over the  field ℤ2. The elements of ℰ(G) are all the  subsets of E(G). Vector addition is defined as X+Y = X ∆ Y, the symmetric difference of sets X and Y...Read More

A Negative Voltage Generator with 4-Stage Configurable Parallel Switching for Smart Window Film Applications

A negative voltage generator was developed that can be used in the drivers of smart window films (SWF), which have typical operating voltages of ±8 to ±10 V. It consists of four Negative Charge Pump (NCP) stages and a 4-phase non-overlapping Clock Generator (CG), where the 4 NCP stages are configurable by external digital signals...Read More

A multi-vision monitoring framework for simultaneous real-time unmanned aerial monitoring of farmer activity and crop health

Current remote sensing technologies employing Unmanned Aerial Vehicles (UAVs) for farm monitoring have shown promise in characterizing the environment through diverse sensor systems, including hyperspectral cameras, LiDAR, thermal cameras, and RGB sensors. However, these solutions often specialize in either activity recognition or crop monitoring, but not both. To address this limitation and enhance efficacy, we...Read More

A Machine Vision Approach for Nitrate Sufficiency Determination in Aquaponic Lettuce via Leaf Color Recognition

Aquaponic systems are popular as sustainable food production methods, however it also experiences challenges in terms of monitoring the nutrient levels, specifically nitrate sufficiency. In this study a new method is proposed to monitor the nitrate sufficiency in aquaponic systems using leaf color recognition. To do this, a state-of-the-art deep learning algorithm is utilized, the...Read More

A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning

This paper proposes transfer learning and fine-tuning techniques for a deep learning model to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this work, the recent YOLOv4 model trained using a collection of 3064 T1-weighted Contrast-Enhanced (CE)-MRI scans that were pre-processed and labeled for the task. This work trained with the...Read More

A Computational Approach to Multistationarity in Poly-PL Kinetic Systems

One important question that interests those who work in chemical reaction network theory (CRNT) is this: Does the system obtained from a reaction network admit a positive equilibrium and if it does, can there be more than one within a stoichiometric class? The higher deficiency algorithm (HDA) of Ji and Feinberg provided a method of...Read More

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...Read More

A comparative performance of breast cancer classification using hyper-parameterized machine learning models

Breast cancer is the second most common cancer and has the second-highest mortality rate in women among all cancer types. Accurate cancer diagnosis plays a great part in breast cancer treatment. The application of machine learning methods in cancer classification has grown popular and has provided an accurate classification of malignant (cancerous) and benign (non-cancerous)...Read More

A Comparative Analysis of Convolutional Neural Network Architectures for Coffee Leaf Rust Detection

Coffee plays a cultural part in the lives of people. Eight out of ten adults in the Philippines drink an average of 2.5 cups of coffee per day, and nine out of ten households have coffee in their pantries. In 2021, it is reported that coffee will be an approximately PHP 3.0 billion (USD 5...Read More

A 92.95%-Efficiency High Voltage Dual-Mode Buck Converter Using0.5-um HV CMOS Process

This paper presents a highly-efficient dual-mode HV (high voltage) buck converter which operates at both light and heavy load currents. For the conversion efficiency to be improved at two different load conditions, the dual-mode design composed of pulse width modulation (PWM) and pulse frequency modulation (PFM) was implemented using TSMC 0.5-µm HV CMOS process. The...Read More

A 2xVDD digital output buffer with gate driving stability andnon-overlapping signaling control for slew-rate auto-adjustment using16-nm FinFET CMOS process

This paper presents a 2 × VDD mixed-voltage digital output buffer where its slew rate (SR) is automatically adjusted based on PVT (process, voltage, and temperature) detection. The developed buffer is the first to be fabricated using TSMC 16-nm CMOS Logic FinFET Compact (Shrink) LL ELK Cu 1P13 M process. Since slew rate is one...Read More

A 210-MHz 4.23 fJ Energy/Bit 1-kb Asymmetrical Schmitt-Trigger-Based SRAM Using 40-nm CMOS Process

This brief introduces a 1-kb SRAM design that operates at low power utilizing asymmetrical Schmitt-trigger based SRAM cells. By adopting an asymmetrical design, the SRAM cell performance in terms of hold, access, and write capabilities were enhanced. A power reduction and speed compensation circuit is presented in the design. The SRAM is implemented and fabricated...Read More

A 2.71 fJ/conversion-step 10-bit 50 MSPS split-capacitor array SAR ADC for FOG systems

This investigation demonstrates a 10-bit SAR-ADC with low power dissipation per conversion step at 50 MS/s sampling rate. The proposed ADC is featured with the split-capacitance array by using unity-gain amplifiers and designed for fibre optic gyroscope (FOG) systems. The buffers based on the unity-gain amplifiers replace the bridge capacitors of the split-capacitance array in...Read More

A 2.71 fJ/conversion-step 10-bit 50 MSPS split-capacitor array SAR ADC for FOG systems

This investigation demonstrates a 10-bit SAR-ADC with low power dissipation per conversion step at 50 MS/s sampling rate. The proposed ADC is featured with the split-capacitance array by using unity-gain amplifiers and designed for fibre optic gyroscope (FOG) systems. The buffers based on the unity-gain amplifiers replace the bridge capacitors of the split-capacitance array in conventional...Read More

A 16-nm FinFET 28.8-mW 800-MHz 8-Bit All-N-Transistor Logic Carry Look-Ahead Adder

Low-power and high-speed calculation is very important nowadays for energy-efficient demand of electronic devices. With the usage of ANT (All-N-transistor) logic, the speed constraint caused by PMOS transistors can be overcome through an auxiliary current path across NMOS transistors. This study presents a 800-MHz 28.8-mW 8-bit carry look-ahead adder (CLA) using ANT logic implemented on...Read More

A 16-nm FinFET 28.8-mW 800-MHz 8-Bit All-N-Transistor Logic Carry Look-Ahead Adder

Low-power and high-speed calculation is very important nowadays for energy-efficient demand of electronic devices. With the usage of ANT (All-N-transistor) logic, the speed constraint caused by PMOS transistors can be overcome through an auxiliary current path across NMOS transistors. This study presents a 800-MHz 28.8-mW 8-bit carry look-ahead adder (CLA) using ANT logic implemented on...Read More

A 1.0 fJ energy/bit single-ended 1 kb 6T SRAM implemented using 40 nm CMOS process

An ultra-low-energy SRAM composed of single-ended cells is demonstrated on silicon in this investigation. More specifically, the supply voltages of cells are gated by wordline (WL) enable, and the voltage mode select (VMS) signals select one of the corresponding supply voltages. A lower voltage is selected to maintain stored bit state when cells are not...Read More

3D-Printing methacrylate/chitin nanowhiskers composites via stereolithography: Mechanical and thermal properties

We report on the mechanical and thermal properties of stereolithography (SLA) 3D-printed methacrylate (MA) resin reinforced by chitin nanowhiskers (CNWs). CNWs were synthesized by acid hydrolysis of crab shell chitin and nanocomposites with 0 wt%, 0.5 wt%, 1.0 wt%, and 1.5 wt% CNWs loading were prepared by slurry compounding method. The obtained CNWs (diameter =...Read More
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