Scopus ID: 85159453465
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
Scopus ID: 85159448200
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
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.
Scopus ID: 85159491771
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
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.
Scopus ID: 85159471855
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
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.
Scopus ID: 85159440077
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
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.
Scopus ID: 85159385916
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
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.
Scopus ID: 85159384712
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
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).
Scopus ID: 85159487429
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
Abstract
In medical imaging, an X-ray image generated using a flat panel detector (digital) typically has poor image quality, affecting the capability of successful medical diagnosis based on the images. The image enhancement process intends to provide better interpretability of the information contained in the images. The main problems considered for medical images include poor quality and low contrast. Therefore, the general objectives of image enhancement include contrast improvement and noise reduction. This study proposes an upgraded X-ray image enhancement hybrid algorithm that utilizes and consists of the Contrast Limited Adaptive Histogram Equalization (CLAHE) method combined with the Wiener filter. Based on the performance metrics results, including MSE, PSNR, and Entropy, as compared to the existing CLAHE method only, the proposed methodology has a lower MSE signifying lower error, a higher PSNR representing a lower amount of distortion, and higher information entropy which indicates higher obtained information. Furthermore, the implementation of the proposed approach is applied to 6000 X-ray images before deep learning classification modeling, which significantly improved from 50% to 78% validation accuracy. Therefore, the proposed method improves the image enhancement methodology and can substantially assist in diagnosing diseases.
Scopus ID: 85159458487
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-6
Diana Rose T. Rivera, Ernet L. Maceda, ... Leif Oliver B. Coronado
Conference Paper | Published: January 1, 2022
Abstract
This research works focuses on the co-pyrolysis of coconut coir fiber combined with PET in order to increase its heating value, in addition to solid mass reduction for prolonged shell life and storage issues. Co-pyrolysis is a process of efficiently producing high-quality biofuel from two or more materials. Parameters combinations were identified using the Taguchi optimization methodology model in MINITAB19. Nine samples with three replications were evaluated. Results revealed that changing the temperature, duration, and feedstock blends show a significant effect on solid mass yield and heating value. The biochar with 75:25 (coconut coir fiber: PET) shows that duration and temperature directly affect the solid yield. For biochar, with 25:75 (coconut coir fiber: PET), pyrolysis duration contributed largely to the output. The highest solid mass reduction with an average of 55% solid yield was obtained. Despite a high solid mass reduction, the heating value measured is only 13 MJ/kg. Feedstock blend with PET to coconut coir ratios of 75:25, 25:75, and 50:50 resulted to an average solid yield of 70%, 65%, and 83% respectively. In terms of heating value, for all three replications, the biochar sample subjected to 200°C, 30 minutes, and PET to coconut coir ratio of 75:25, with an average solid yield of 67%, had the highest value with 20.94 MJ/kg, 24.42 MJ/kg, and 23.55 MJ/kg for Trial A, B, and C, respectively. The result shows that the incorporation of PET effectively increases the heating value of the coconut coir fiber from 10 MJ/kg to 24.42 MJ/kg.
Scopus ID: 85159461605
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
Abstract
The college entrance examination is vital for program admission. Typically, entrance examinations are conducted onsite using paper and pens. When the COVID-19 pandemic hit, the entrance examination was lifted and physical gatherings were prohibited. Since many schools cannot offer an online admissions exam, they rely on grades and interviews to admit and qualify students for degree programs. However, academic standards differ between schools, and grades may not be enough to assess students' capacity. Thus, this study aims to develop an Online Proctored Entrance Examination System (OPEES) with Degree Program Recommender for colleges and universities to help institutions administer onsite or online entrance tests and generate course suggestions using a rulebased algorithm. The study employed the scrum methodology in software development. OPEES allows applicants to submit applications online, and institutions can manage user accounts, tailor exams and degree programs’ criteria, manage exam dates, and assign proctors. Online proctoring using Jitsi, an opensource multiplatform voice, video, and instant messaging tool with end-to-end encryption, ensures exam integrity. The system’s features were evaluated by 102 respondents, comprised of end-users (students and school personnel) and IT professionals, using the FURPS (Functionality, Usability, Reliability, Performance, and Supportability) software quality model. In the software evaluation, the overall system proved to be functional as perceived by the respondents, as manifested by the mean rating of 4.61. In conclusion, the system's architecture was deemed feasible and offers a better way to streamline admission examinations and determine a student’s applicable degree program by enabling institutions to customize their exams and degree program requirements. It will be beneficial to look into recommendation system algorithms and historical enrollment data to improve the system’s use case.