FEU Institute of Technology

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Backpropagation Artificial Neural Network Model for Predicting the Mechanical Properties of Bagasse Ash Blended Concrete

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5

Conference Paper | Published: January 1, 2022

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Abstract
Technology in construction has been attempting to discover eco-friendly materials, to identify waste products that can be processed as an alternative supplement to cement. The study utilizes sugar cane bagasse ash (SCBA) to produce a bagasse ash blended concrete. There were 15 previous experimental studies that were gathered and analyzed which have the same variables in terms of determining the mechanical proeprties of the blended concrete with SCBA. The variables that were considered are: compressive strength, cement content (CC), fine aggregate (FA) and coarse aggregate (CA) content, water-cement ratio (W/C), water content (WC), and sugarcane bagasse ash content. 74 different data sets in all were obtained. The study's goal is to develop a prediction model for estimating the mechanical properties of concrete made with SCBA. The work employed MATLAB R2021a neural network (NN) toolbox for model development and simulation of the dataset with the use of the backpropagation ANN. The best model was observed to have a structure of 7-7-1 (input-hidden-output) having the highest R all value and lowest AIC value, with a mean absolute percentage error (MAPE) is 3.718% considered to be a highly accurate model. The relative importance (RI) showed that the FA, CA, and CC were the most significant factors to the CS while water and SCBA were the least influential parameters. The overall findings reveal that the MAPE of the compression strength prediction model decreased from 3.718% to 3.519% exhibiting a 5.35% improvement in the model’s performance.
BOOKEXPRESS: A Web and Mobile Based UV Express Reservation and Booking System with Data Analytics

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5

Francel Duke P. Anglo, Marc Kevin F. Santos, ... Jay-ar P. Lalata Jay-ar P. Lalata

Conference Paper | Published: January 1, 2022

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Abstract
UV Express is one of the most used modes of public transportation in the Philippines. However, the inconvenience in commuting, such as long queues of passengers at UV Express terminals and extended waiting time for UV Express drivers and passengers, is still present. The Book-Express aims to help UV Express, which operates on a terminal-to-terminal basis, by providing a reservation and booking system through a website and mobile application. The system’s primary functionalities were validated through user acceptance testing using the metrics of functionality, usability, reliability, performance, and supportability. Consequently, the system garnered an overall score for the mobile application of 4.60, which is "Excellent", and an overall score for the website of 4.53, which is "Excellent," as well.
Apollo: Dissecting the Human Body Through the Use of Interactive Animation

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-7

Conference Paper | Published: January 1, 2022

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Abstract
Apollo is an interactive animation that aims to provide both Junior High School teachers and students, additional materials for teaching and learning. It consists of three modules that present anatomical topics covered in the current K to 12 Curriculum Guide for Science (2016); Digestive, Respiratory, and Endocrine Systems of the Human Body. The modules contain interactive 3D animation videos that feature narrated lessons to guide student's learning and pop questions to further student's understanding. Several software programs used to produce Apollo includes Autodesk Maya, Adobe After Effects, Adobe Premiere, and Adobe Photoshop. In addition, the website which Apollo can be accessed through was developed using HTML and Adobe Dreamweaver.
Mini Hydropower Potential for Low Energy Areas in Quezon Province

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5

Ivan Karl B. Camacho Ivan Karl B. Camacho , Johanna Tonia S. Javier, ... Melvin B. Solomon

Conference Paper | Published: January 1, 2022

Fabrication of a Hydroelectric Generator with a Dual-Axis Fluid Flow Turbine Blade Design

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5

John P. Henry Ricamara, Carl Wilfred D. Cabalce, ... Ritchard Q. Dizon

Conference Paper | Published: January 1, 2022

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Abstract
In the Philippines, it rains half if not most of the year. In an era where electricity is vital in all aspects of everyday life, there is a need to conserve and find alternative sources of energy. A better way to do it is by harnessing an abundant resource like rain. This project aimed to design and fabricate a hydroelectric generator that can be utilized even in situations where there is very little rainfall. The hydroelectric generator created was an innovative design that uses a dual-axis or bidirectional turbine design. Reservoirs, spillways, and gear ratios were used to optimize the input of rainwater into the generator. The designers showcased the functionality of their hydroelectric generator with hopes of raising awareness regarding energy-saving or energy-producing ideas and alternatives.
Sustainable Drainage System: Low Impact Development Practices to Minimize the Storm Water Runoff

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5

Jenny B. Calot, James Bryan R. Galang, ... Lady Lyn E. Escarieses

Conference Paper | Published: January 1, 2022

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Abstract
Low Impact Development (LID) is a green infrastructure approach to ease the surface runoff that arises due to climate change and from an increasing impervious surface area caused by urbanization. This study aims to determine which LID control is best suited for Barangay San Rafael, San Jose Del Monte, Bulacan. Using Storm Water Management Model (SWMM), a hydraulic model of the area was created to apply the LIDs and simulate a runoff. The data used in SWMM for the runoff simulation is the monthly rainfall values for year 2020. Based on the simulation using SWMM, the existing drainage system has a high total flood volume with total flood volume of 243.511 liters. Based on the data collected from SWMM, the most effective combination with total flood volume of 50.884 liters was the combination of all the LID practices. The study has used three (3) different LID practices and the combinations of the LID practices to obtain the ideal LID combination namely, Bioretention Cell, Bioswale, Bioswale and Permeable Pavement. In the final analysis, the combination of Permeable Pavement, Bioretention Cell, and Bioswale is the best combination out of the three LID controls mentioned. Bioretention Cells are primarily used in parking lot islands, traffic islands, and driveway runoff. The same is true for Permeable Pavement, which is used mainly on roadways and parking lot islands. Considering the total flood volume that the SWMM calculated, the combination of the three LID parameters alone has the lowest total flood volume.
Kaiser and Cumulative Proportion Principal Component Analysis for Temperature Compensation of Vibration in Reinforced Concrete Bridge

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-6

Ronnie Concepcion, Febus Reidj G. Cruz, ... Pocholo James  M. Loresco Pocholo James M. Loresco

Conference Paper | Published: January 1, 2022

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Abstract
Structural health monitoring (SHM) was developed to provide diagnosis of the state of civil structures, such as bridge and building, throughout their lifespan. The superstructure degrades over time mainly because of the continuous effect of environmental factors including temperature, wind, humidity, and traffic loading. Consequently, this study is concerned in reducing the masking effect of environmental factors, specifically on temperature. Principal component analysis (PCA), a supervised machine learning algorithm, was employed as the embedded statistical treatment for multidimensional reduction of feature matrix data to eliminate the temperature effect. Kaiser’s criterion eliminated data variance of almost 20% that may result to poor data reconstruction. Cumulative proportion (CP) criterion eliminated data variance around 4%, which is a better choice for deciding the number of principal components to eliminate. Thus, the proposed experimental study addressed successful temperature compensation from reinforced concrete bridge vibration data by using PCA and CP criterion.
Disaster and Crime Reporting and Monitoring System for Hagonoy Bulacan with Decision Support Mechanism

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-6

Conference Paper | Published: January 1, 2022

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Abstract
Disaster strikes in unexpected times. The first few hours after are critical to the survival of the victims directly hit by the event. This paper explores the utilization of the Monitoring and Reporting System with Decision Support Mechanism using web and mobile applications. The citizen of Hagonoy can use the mobile application to report a crime or a disaster, they can also access the official website to view important announcements regarding safety protocols or events. The Department of Police, Fire and MDRRMO of Hagonoy will take full responsibility for managing the emergency reports and updating the website’s content. From the experiment, the mobile application was able to show that the system can provide a feasible emergency and incident report that will help both the citizen and LGU of Hagonoy. The researcher used the prototyping model as a software development model. Overall, the system was evaluated 4.86 with an interpretation result of Very Acceptable. This means that the system is ready for deployment.
The Development and Evaluation of a Certification Reviewer-Based System Using a Technology Acceptance Model

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-6

Conference Paper | Published: January 1, 2022

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Abstract
Getting a certification is one of the most complicated academic journeys for students in the world of technology. Industry certification has evolved into a distinct worldwide industry. The certification is an examination to evaluate students’ technical knowledge and competency in their chosen areas. Students and recent graduates pursue certification because it gives them an advantage in the job market and allows them to concentrate on relevant, meaningful, and in-demand computing subjects. Giving students the best academic support is essential to help them pass a certification exam evaluating their knowledge in courses. The goal of this study was to create a certification reviewer-based system that would let the reviewee provide a platform for review so that appropriate academic interventions could be automatically given before the examination process. The paper has applied the Technology Acceptance Model (TAM) to various information systems. The paper used the Rapid Application Development Model to develop the reviewer-based system. Document analysis, survey questions, and focus group conversations were used to gather the data. The validated survey questionnaire was administered to students, instructors, and practitioners during the School Year 2021-2022. The three groups of respondents were purposively selected as they complied with the requirements of the study. The data was analyzed quantitatively using the frequency distribution, weighted mean, and one-way variance analysis of variance.
Data Analysis and Constraint-Based Modeling of Novice C Programming Error Logs: An Input for Developing Intelligent Tutoring System

2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-6

Conference Paper | Published: January 1, 2022

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Abstract
Computer programming is one of the fundamental skills in the field of computing [1]. In a computing class, students are expected to learn the skills rather than remembering materials only. This study aims to develop a constraint-based student model (CBM) by analyzing the computing students' C compilation error logs. The proposed modified CBM will be used as input to develop a user behavior of an ongoing study for an intelligent tutoring system. The prototype was developed to obtain compilation error logs from the selected students, it contains five (5) C programming questions that focus on assignment statements. The prototype of the study was pilot tested on two (2) online programming classes with a total of thirty-one (31) freshman college students composed of nine (9) BSCS and twenty-two (22) BSIT participants with a mean age of 18.68, where nineteen (19) or 61.3% are males and twelve (12) or 38.7% are females. The study uses convenience sampling to determine the total number of student participants. The dataset was extracted from the prototype and feature identification was performed on one thousand thirteen (1013) C programming logs which resulted to obtain eight (8) error types. The paper of Khodeir, Wanas, & Elazhary (2018) [2] and Karaci (2018) [3] on constraint-based modeling was reviewed to develop a proposed constraint-based model in the context of C programming focusing on assignment statements. By mapping a student error on the suggested constraint relevance (Cr) and constraint satisfaction, the database for constraints was finished (Cs).

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