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: 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: 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: 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: 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: 85159442221
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
This project aims to aid students, teachers, and even non-teaching staff in terms of managing technological inquiries and maintaining communication to perform academic-related transactions by developing Tissa – a web-based helpdesk support system for tertiary institutions that integrates various time series analysis techniques in forecasting the estimated number of tickets to be filed by the stakeholders based on historical records. Specifically, it explores the effects of developing a dedicated ticket management system that incorporates both analytics and enhanced user experience to the users’ satisfaction, especially in a tertiary school setting. A total of 62 respondents were selected through purposive sampling. These respondents helped in evaluating the system's overall quality based on the ISO/IEC 25010 software quality model. The respondents' evaluation of the system's overall quality received an above-average score which means that the system passed the testing in terms of system requirements. The results gathered also suggest that 95.2% of the respondents agree that the inclusion of data visualization serves as valuable insights in performing strategic business decisions. Additionally, the system's user experience evaluation received the highest mean score of 4.82. The results for exponential smoothing yielded an 88% accuracy, linear regression was 80% accurate, simple moving techniques had an 85% accuracy rate, and 84% for the weighted moving average, which suggest that techniques used in this study can be considered reliable for future references.
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: 85159420945
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.
Scopus ID: 85159443884
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
One of the world's most serious challenges is the exponential expansion of the population. The Philippines is included in this category of "less developed countries." Moreover, the said country's population expansion is unstoppable. With at least three newborns born per minute, the country has one of the greatest population growth rates. Consequently, the researcher's objective is to use a machine-learning algorithm to forecast the possible Philippine population growth for the upcoming year. Employing Knowledge Discovery in Database (KDD) as the step-by-step process in determining solutions and answering each of the research questions of the study.With this, the researchers were able to forecast data using time series data analysis about the historical populations of the Philippines utilizing a 12-point moving average. Based on the accuracy performance of the model, the algorithm can be used as a reliable source and was considered a good fit with a 90.27% accuracy.
Scopus ID: 85159454690
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
Visual impairment can make pedestrian crossing quite the ordeal as the individuals cannot rely on their other senses to determine when it is safe to cross. Pedestrian lanes are visual indicators and sound is impeded by the noise of vehicles passing by.This paper aims to provide visually impaired individuals with data that is normally not available to them due to their disability. With modern advances in computer vision and small form factor electronics, the researchers were able to create a wearable piece of technology running Object detection and Face recognition technologies on a Raspberry Pi 4.Given the Raspberry Pi 4’s capabilities, the researchers were also able to add in extra safety modules such as GPS and Emergency SMS systems in the event that the user is in an accident. Test results show that the device was able to perform its core function within its intended parameters.Though the functions are still limited due to the available technology at the time, there are better components available, especially in an international level, that can greatly improve the final product such as a higher quality camera and a better suited power supply.