Scopus ID: 85199893175
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Conference Paper | Published: January 1, 2023
Abstract
Water is a resource that all living things require, especially humans. Water contamination is prevalent worldwide due to progress and rapid industrialization. This study aims to conceptualize a low-cost and straightforward to install solar photocatalytic reactor (PCR) prototype for the degradation of Methylene Blue (DMB), one of the contaminants released into water resources, with the aid of Biochar and Titanium Dioxide as nano catalysts and assess its efficiency. A 3mL sample was collected before the start of the experiment, another 3mL sample from an unilluminated setting, and a 3mL sample at the end of the 2-hour photocatalytic investigation. The samples were processed and observed from an external laboratory. Results showed a 90.53% adsorption efficiency rate, a 1.1% and 9.9% difference from another study that utilized the same contaminant and time duration, and a 0.0196/min degradation rate. Based on this result, it was assessed that the proposed photoreactor was solar adsorption efficient and had a photodegradation potential to reduce the Methylene Blue (MB) contaminant.
Scopus ID: 85199862569
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Conference Paper | Published: January 1, 2023
Abstract
The transcription of music is essential since it preserves the originality of the music and the compositional technique used by the composers. In this manner, native music can be reproduced, and documents of certain tunes can be passed on to succeeding generations without hearing the original music. A very limited amount of research has been conducted on the application of automation in music transcription using deep learning, particularly in native music instruments. This research is an effort to preserve and conserve Filipino culture in the context of native music and musical instruments particularly the Diwdiw-as, a native Filipino bamboo flute. Using signal processing and deep neural networks, the proposed study aims to automate music transcription. The system is capable of classifying pitches based on the fundamental frequency and is also capable of classifying notes based on their duration. Diwdiw-as pitch can be transcribable to the music sheet using the following pitches: CS, DS, ES, FS, GS, AS, BS, C6, while the note values are whole, eighth, quarter, half, dotted eighth, dotted half, dotted quarter. A web-based application has been developed to assist in the automatic music transcription (AMT) of Diwdiw-as. A pdf file of the transcribed music sheet can then be downloaded. According to the confusion matrices, the system's accuracy is high in terms of the transcription of pitches and notes in the music sheet.
Scopus ID: 85199900806
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Danilyn Joy O. Aquino, Alvin Roland M. Alcedo, ... Kenneth Russell K. Torralba
Conference Paper | Published: January 1, 2023
Abstract
Modern advancements have the potential to help farmers maximize food production that will result to conservation of resources and profitability maximization. It is beneficial for farmers and to our local industry and economy because it approaches the issues regarding agricultural farming with the help of an up-and- coming field of studies. It would be a step towards food sustainability and conservation of resources and the environment. With this, the researchers came up with an idea of incorporating Artificial Intelligence (AI) through Deep-Learning Neural Network Technology to our food production. With the help of Raspberry Pi Microcomputers, we will develop an AI that will learn the parameters that are needed to control for optimal food production, and then implement the monitoring system through Swarm- based Drone Technology which will perform monitoring and crop maintenance autonomously. All operations shall be processed and deployed through Python Language.
Scopus ID: 85199857565
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-5
Conference Paper | Published: January 1, 2023
Abstract
Personal safety is paramount in today's society, where crimes like theft and assault are prevalent. However, many self-defense tools are inaccessible or impractical for everyone. This creates a demand for innovative, user-friendly tools that can provide reliable protection in emergency situations. The Flash'n Alert, a handheld warning device with an integrated alarm system designed to empower individuals to protect themselves effectively. The Flash 'n Alert is a handheld device designed and developed with an activation button as input to the microcontroller that will trigger the four emergency modules - LED for high-intensity flashing of light, speaker for loud alarm, GPS to determine the location of the incident and GSM to send SMS to emergency contacts. This device combines a high-intensity flashing light with a loud alarm, deterring potential attackers and alerting nearby people in emergencies. When activated, the device emits a blinding flash that disorients attackers and provides an opportunity for escape. The accompanying alarm system grabs attention and signals an emergency in progress. Notably, the Flash 'n Alert also notifies emergency contacts, making it invaluable when the user is unable to call for help. With a simple activation button, this device is effortless to use. And with its two rechargeable battery feature, the Flash'n Alert is cost-effective and eco-friendly, ensuring it remains ready for use with its long-lasting battery life.
Scopus ID: 85199923471
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-5
Conference Paper | Published: January 1, 2023
Abstract
Sleep is critical, particularly for young adults aged 18 to 25. Young adults should get at least 7 to 8 hours of sleep per night. Most young adults struggle to get enough sleep due to a variety of factors such as anxiety, depression, and excessive use of technology. As a result of continuing the same sleepless night routine in their daily lives, young adults become sleep deprived. The most common side effects of sleep deprivation are health issues such as heart disease, obesity, kidney failure, high blood pressure, and many more. Since this issue is very timely and relevant nowadays, the researchers develop a major project, an 2D Animated Interactive Video, and a minor project, a Podcast that can help young adults to be relaxed in order to get a better sleep. The 2D animated interactive video will present two environments from which users can choose. It will be uploaded to a Wix site, and each option will be unlisted so that users can interact with the animated video. The podcast, on the other hand, will be storytelling that is related to the story of the major project. It will consist of four episodes excluding the pilot episode. This project will also be uploaded to YouTube for easy and free access.
Scopus ID: 85199910971
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-4
Conference Paper | Published: January 1, 2023
Abstract
This research study employed machine learning algorithm in This research study employed a machine learning algorithm in predicting student academic performance in the Data Structures and Algorithm (DSA) course which is based on student lifestyle to analyze the factors that affect the high or low performance result. A total number of 251 Bachelor of Science in Computer Science (BSCS) students participated in the study where 207 or 82% were male and 44 or 18% were female. A oneshot case study was conducted that led to data collection through the administration of an online survey on former enrollees of the said course. The dataset was extracted with 43 features and was analyzed using Python on Jupyter Notebook. Randomly selected 70% of these, 176 observations, are used to train the classifier models. The remaining 30%, 75 observations, were used as the test data. In order to classify academic performance students, eight machine learning algorithms were applied based on random forest (RF), decision tree (DT), support vector machines (SVM), K-nearest neighbors (KNN), logistic regression (LR), Gaussian Naive Bayes (GNB), stochastic gradient descent (SGD), and perceptron. Although SGD and Perceptron classifier models show comparably low classification performances, both random forest and decision tree classifiers provided the highest metric performance. The study indicated that the lifestyles of students contributed to whether the student performance became high or low in their grade performance.
Scopus ID: 85199881223
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Reylwin N. Caña, Rozanna Dixie D. Berbano, ... Rex Paolo C. Gamara
Conference Paper | Published: January 1, 2023
Abstract
Despite awareness of food waste consequences on environmental, societal, and financial aspects, no behavioral change towards food waste reduction is seen in the majority of Filipino Households. This study focuses on the creation of a food waste monitoring system that provides accurate figures to incite constructive behavioral changes. Thru the utilization of Convolutional Neural Networks coupled with image processing techniques, the system identifies and classifies food waste items, measures weight, and collects data for the consumers' viewing in a manner that is both informative and user- friendly. The device developed by the proponents involves two Raspberry Pi 4 Boards and one Arduino Uno board which are the main components of the device that simultaneously communicates to process the given food waste. The other components such as two RPI Cameras that can record in HD, detect food waste, and send the following data to be processed. Then, the weight is taken using height input from the user and EfficientDet algorithm is used for detecting different classes of food waste. Using 2D images that were captured the RPI Cameras, the proponents gathered images to make data sets and to train the device in such a way that it can determine weight and food class. After these steps, the food waste can now be thrown away automatically via the moving platform. After conducting tests, we successfully created a device with an impressive detection accuracy rate of 94.0952%, accompanied by an error rate of only 5.9075% and a precision level of 96.42156%. When it comes to weight detection, our device achieves an overall mean absolute percentage error rate of 9.9898%. Additionally, the tilting platform demonstrates a remarkable relative accuracy of 98.8889% with a success rate of 100%.
Scopus ID: 85199864750
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Teodoro F. Revano, Jr.
& Ronaldo A. JuanatasConference Paper | Published: January 1, 2023
Abstract
The technology-enabled learning and teaching ecosystem (TELTE) enhances accessibility, personalization, engagement, collaboration, and continuous learning, while also providing valuable data for assessment and improvement. TELTE is essential in education as it empowers learners, expands access to knowledge, fosters engagement and collaboration, and prepares individuals for the demands of a digital world. However, most frameworks focused on the needs of learners, leaving other stakeholders, such as teachers, underrepresented. Therefore, the study focused on developing a technology management framework for TELTE (TMF-TELTE), addressing both students and teachers. The framework development was anchored to the challenges concerning resource allocation, delivery methods, support systems, management support, technology infrastructure, and policy development. A mixed-methods approach using an explanatory sequential design was adopted. The experts, students, and teachers from various HEIs who participated evaluated the framework in terms of usefulness and convenience. The results show that the students, teachers, and experts all agreed that the developed framework was acceptable. TMF-TELTE was therefore recommended to be included in either the revision of their curriculum and other academic materials or the development of new technology- based learning and teaching ecosystems.
Scopus ID: 85199876371
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Laurence Keith P. Alquiza, King Harold A. Recto, ... Jesús Villalobos
Conference Paper | Published: January 1, 2023
Abstract
The Republic of the Philippines is confronted with rebuilding its energy landscape, which now depends heavily on imported fossil fuels for a substantial supply. The Department of Energy (DOE) has established lofty objectives to enhance the nation's renewable energy (RE) capability; nevertheless, these objectives are still to be achieved. This research supports DOE's goals by studying other possible renewable energy sources. In particular, the primary aim of this research is to examine the viability of Offshore Wind Converters (OWCs) and Wave Energy Converters (WECs) as viable sustainable energy options for the Philippines. Ocean wave converters (OWCs) provide inherent benefits in terms of dependability and have widespread societal acceptance. Conversely, wave energy converters (WECs) harness the vast energy potential contained within ocean waves. A comparative evaluation was undertaken to analyze the differences between these two potential renewable energy sources. The assessment concludes that OWCs possess a minor advantage over WECs regarding their economic viability and higher societal acceptability. It recommended that the government adopts a diversified energy portfolio, which may include the incorporation of WECs to effectively navigate the changing dynamics of the energy sector, enhance sustainability, and ensure the long-term security of the nation's energy supply.
Scopus ID: 85190895371
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Conference Paper | Published: January 1, 2023
Abstract
This study presents a profound exploration into the synthesis of cultural mythology and video gaming, epitomized by the creation of “Anito: Battle of the Gods.” With meticulous attention to detail, the game artfully merges immersive gameplay with the captivating narrative of the Philippines' rich cultural heritage. Grounded in the Scrum methodology, the project unfolded through iterative collaboration, ensuring both efficiency and alignment with player preferences. Extensive quantitative data was amassed through game evaluation sheets and purposive sampling, spotlighting the game's diverse aspects. Results unveiled resounding satisfaction among participants in categories spanning gameplay, aesthetics, user interface, player experience, and website usability. Theoretical implications accentuate the efficacy of cultural storytelling within games, while practical insights highlight the successful amalgamation of entertainment and education. Technically, the study underscores the potency of agile methodologies in crafting an engaging gaming experience. These findings hold far-reaching significance, demonstrating the power of culturally infused games to captivate and educate players. In this tapestry of research, the study signifies the convergence of creativity, culture, and technology, elevating gaming beyond leisure to an instrument of cultural exploration and enrichment.