Scopus ID: 85159482541
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-6
Ryan Rhay P. Vicerra, Rex Paolo C. Gamara, ... Andres Philip Mayol
Conference Paper | Published: January 1, 2022
Abstract
By the beginning of 2020, the illness had been named as COVID-19, which had spread due to its extreme severity affecting multiple industries and sectors throughout the world. To protect the public's health and safety, the Philippine government has established a number of quarantine regulations and travel restrictions in reaction to the current COVID-19 outbreak. Nonetheless, the ILO predicted that the pandemic would initially disrupt the economy and labor markets, affecting 11 million employees, or around 25% of the workforce in the Philippines. Therefore, the government continues to urge employers of local companies and enterprises to use alternative work plans, such as a WFH – work-from-home operation in accordance with the established policies. In line with the concept of telework, several studies have already been carried out, though some were declared inconclusive and require additional study. Hence, in this research, a mobile application was created to evaluate the employee’s telework capability assessment using a Fuzzy-based model which utilizes Google AppSheet, Apps Script, and Sheets. The developed mobile application is able to provide capacity evaluation utilizing the four key input variables, which are also reasonably characterized for potential telecommuting cost evaluation.
Scopus ID: 85159451013
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 this study, there were two (2) derived models which are the compressive strength and slump workability of concrete with waste ceramic tile without adding any additives using an Artificial Neural Network (ANN) model based on five (5) different input parameters which are the Amount of Fine Aggregate (FA), Amount of Coarse Aggregate (CA), Cement Dosage (C), Water-cement ratio (W/C) and the Amount of Waste Ceramic (CW) respectively while concrete slump and compressive strength test result as an output on the model. The two (2) derived models have satisfactory accuracy where the regression values are 0.98007 and 0.99643 and the mean square error of 10.218 and 1.4927, respectively. All models show excellent accuracy has a maximum error of 19.07% and average error of 2.2%. for slump workability, maximum error of 9.26% and average error of 1.81% for compressive strength model. Parametric study was used to describe the behavior of the derived models, the addition of ceramic waste improves the mechanical properties of the concrete, specifically its compressive strength, while the value of slump workability decreases. The study also performs the relative importance calculation, and based on the results, water to cement ratio (w/c) is the main contributing factor for the slump workability and compressive strength model among other parameters, having the most contributing relative importance value of 28.35% on slump model and 27.47% on compressive strength model.
Scopus ID: 85159387699
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
Mental health is more than the presence or absence of a mental illness. COVID-19 has led to self and social isolation, disconnection from family and friends. More people than ever are experiencing feelings of helplessness, isolation, grief, anxiety, and depression. In such cases, the team took advantage of the opportunity to raise mental health awareness by developing a trilogy of interactive short films with a website that would support the project’s purpose. The film has three characters with different stories, namely Marion; a college student who is struggling to adjust to his new average experience from his online class and Kayla; a nurse who is also a mother of three children, who must participate in treating the patients with COVID at the hospital, and Marie; an OFW who works from Saudi Arabia wants to go home to visit her family. The study also intends to explore the impact of coping strategies and perceived social support on one’s ability to handle social isolation stress. Each of the characters' stories will represent the different outlook on possible mental health symptoms that everyone has experienced during the pandemic. The stories presented in the film will be based on real-life circumstances and experiences of people who have lived through the pandemic. The story aims to give hope to its viewers on what lies ahead of the pandemic. Upon testing the produced output, the study results show that most people only have a general idea when it comes to the topic of mental health issues. The study also yielded that the project has spread and increased awareness about the topic under study. Although the project could attain its specific goals and adjectives, the best and only conclusion is to seek professional help from credible and trusted experts in their respective health fields.
Scopus ID: 85159453987
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
Tropical cyclones are a common occurrence in the Philippines since it is located in the Western North Pacific region. It is essential to monitor and measure rainfall as it has implications for reducing disaster risk, agricultural planning, and transportation planning. In this study, machine learning artificial neural networks are employed in the classification of acoustic data collected from a rain acoustic sensor (RAS) developed. Mel-frequency cepstrum coefficients are extracted and modified into inputs for an artificial neural network (ANN) that classifies rainfall into Light, Moderate, Heavy, Intense and Torrential according to the Philippine Atmospheric, Geophysical, and Astronomical Services Administration (PAGASA) Rainfall Classification System. Using scaled conjugate gradient backpropagation, the neural network was trained, and its results were compared with the standard tipping bucket rain gauge data. A 94.6% accuracy rate was achieved using five-fold cross-validation for classifying PAGASA’s rainfall data in the experimental study.
Scopus ID: 85159403218
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
With the pandemic coming to an end, the world is expected to revert to most, if not all, of its economic activities prior to the pandemic to ensure economic recovery. However, this pursuit also impacts energy consumption, economic growth, and emission reduction. There have been several studies that have tackled this but only on a macro-scale and were focused on developed countries, so the context is different from Southeast Asia. Using regression modelling of World Energy Council (WEC) trilemma scores of the member countries of the Association of Southeast Asian Nations (ASEAN), its mathematical relationships with energy consumption, economic growth and emission reduction were determined, as well as its implications to sustainable energy policy in the ASEAN. The study found out that Gaussian Process Regression – Exponential GPR is the best fit model to use for this purpose. Considering the findings, policies to (1) encourage investments in clean energy, (2) push for clean energy transition, (3) reduce energy-related carbon dioxide emissions, (4) study the differences in energy use and efficiency across groups and (5) advocate energy savings were forwarded.
Scopus ID: 85159410284
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
Abstract
Facebook is an alternative tool that has gained popularity as a telemedicine platform among physicians and patients. Given its accessibility and relatively low acquisition costs, research needs to highlight the factors that drive its adoption to ensure its adequate governance and continued use to support digital transformation initiatives in the healthcare services delivery. Guided by the Uses and Gratifications theory, the researchers interviewed physicians (n=16) with different specializations to identify critical motivators in using Facebook for telemedicine. The thematic analysis of the interview transcripts found that familiarity with technology, information exchange, convenience, and social connections are usage gratifications derived from Facebook for telemedicine. This paper outlines the implications of its findings in the context of the study where telemedicine adoption is slow and social media use is prevalent. Future directions are discussed along with the implications of the study in various social institutions such as healthcare providers, the government, and the academe.
Scopus ID: 85159469079
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
Abstract
Visionary Studios took advantage of creating an approach to promoting and preserving these rich Philippine legends through a form of an interactive animation film. Mitolohiya adapts the story about the origin of The First Coconut Tree and the Creation of Man, using two-dimensionl characters with three-dimensional textured environments. Go through an epic adventure featuring Bathala; a god living on a deserted planet who seeks and desires to create the first life on Earth, Galangkalulua; a winged god who wanders the universe, and Ulilangkalulua; a serpent god ruling over the clouds. Along with bonus sequences of stories showing the legends of five other deities from Tagalog myths. Tala; the goddess of the stars, Hanan; the goddess of morning, Mayari; the goddess of the moon, Lakapati; the goddess of good harvest and Amanikable; the god of the sea. This animation film is created to promote and preserve Philippine myths about Tagalog gods & goddesses through an interactive hybrid animation format. Overall, the preliminary data shows that most of the participants were not familiar with the adapted Tagalog myth in the film however, after watching the interactive film, most of the respondents gave positive feedback to the overall film's animation, design, aesthetic, story, and website. According to the data, the animation and interactivity of the film makes it more engaging for the viewers which shows that the use of the interactive hybrid animation and website is effective in promoting Philippine Tagalog mythology. It is highly recommended to give further research about the different legends and stories within the Tagalog pantheon. Due to the large variety of characters, the possibility of creating numerous adaptations can also be suggested.
Scopus ID: 85159479494
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
Pork meat is a very important source of proteins and other nutrients, so it requires a high level of quality. There is a serious health risk associated with the consumption of spoiled or contaminated pork meat, which is why it is extremely important to monitor its freshness. In this study, sensor arrays consisting of RGB IR sensors, thermal sensors, electronic noses (gas sensors) for detecting the color, temperature, and carbon dioxide and ammonia level of the pork meat were used to evaluate pork meat quality and estimate shelf life. The use of various supervised machine learning approaches has been applied with optimization to perform classification as to whether the meat was fresh or not, as well as regression analysis to predict the amount of exposure time for the meat that can be used in computing shelf-life estimates. Several high-performance algorithms were then tested, evaluated, and compared after hyperparameters of each model were optimized using grid search. As a result of a comparative analysis of the machine learning used, gentle boost ensembles outperformed other machine learning methods in detecting pork meat quality with 92.8% accuracy, while gaussian process regression predicted shelf life with the lowest RMSE, MSE and MAE.
Scopus ID: 85159468687
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
Earthquakes or seismic events cause several disturbances in the ground which can harm or damage the structural stability and could turn fatal. Liquefaction causes a sudden movement shift that is out of sync with the rest of the structure. This might cause several structural damages to the property leading to casualties. In the Philippine geographical context, the West Valley Fault which traverses Metro Manila is a seismic threat capable of producing a maximum magnitude of 7.2. This study aims to assess the probability of liquefaction in Farnecio St., Quaipo, Manila as well as the determination whether the structures present will suffer from critical failure or not. Probabilistic Seismic Hazard Analysis and Monte Carlo Simulation were used to determine the seismic hazard. Recorded earthquake history from the Philippine Institute of Volcanology and Seismology was used as part of the seismic analysis. The seismic hazard analysis shows that a magnitude 5.3 earthquake has a 44.44 % probability of occurrence within the 10-to-20-kilometer distance from the seismic source. A peak ground acceleration of 0.458g and 0.548g was also determined for return periods of 500 and 2500 years for which a Uniform Hazard Response Spectrum was generated. The probability of damage for 2% in 50 years and 10% in 50 years is 39.63% and 30.41%, respectively.
Scopus ID: 85159408581
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
When it comes to learning, there are beneficial effects of incorporating gestures in learning mathematics especially within the early ages of life. At first, we learn Math by counting and incorporating our fingers as a guide, as well as writing numbers along on a piece of paper. These gestures are known to be examples of hands-on learning experience for children. Aside from counting, they learn basic mathematical operations as well.Teaching children mathematics is not an easy task. The child’s attentiveness plays a huge factor in the learning process. The average attention span of the child from 2 to 10 years of age is 20 to 30 minutes only. Making the learning interactive can help in maximizing the learning experience of the child within the timespan. Thus, we aim to develop a compact device that is interactive with children when it comes to learning basic mathematical operations such as addition, subtraction, and multiplication.This device has software that uses computer-vision and image detection as a way of teaching children math in an interactive way. The child has two different options of answering, by using hand gestures or premade printed numbers. The child is asked five random basic mathematical questions within a time limit. It has three levels of difficulty which the child must pass in order to progress each level. Furthermore, the software also has audio feedback as a way of letting the child know the correct answer. With these features, children are engaged in an interactive learning opportunity in mathematics.