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...
Category: Research
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...
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...
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...
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...
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...
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...
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...
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...
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...
