Scopus ID: 85174292970
2023 International Conference on Information Technology Research and Innovation (ICITRI), (2023), pp. 118-122
Conference Paper | Published: January 1, 2023
Abstract
Wind power is a challenge in power generation. The tortuous process stages in generating voltage become a significant problem to be solved properly. One indicator of the process is the determination of the right wind speed because it always changes at any time and under circumstances. For this reason, accurate predictions are needed so as to maintain the smooth integration of wind power into the overall system. Machine learning is used as a promising approach to dealing with wind intermittent power because wind speed prediction methods have been developed in recent years. This study explores climate patterns in the Philippines using data collected from PAGASA. The data is trained and tested with a machine learning model to predict wind speed. This research resulted in the Gaussian Process Regression (GPR) model outperforming other models and is very suitable for datasets in achieving accurate and reliable predictions.
Scopus ID: 85166372591
2023 9th International Conference on Virtual Reality (ICVR), (2023), pp. 461-466
Conference Paper | Published: January 1, 2023
Abstract
Advances in technology have revolutionized student recruitment strategies employed by educational institutions. These innovations led to the adoption of virtual campus tours to provide prospective students with an immersive expedition into the school facilities replicated in a digital environment. However, the existing virtual tour technologies pose challenges, including cybersickness in virtual reality and limited interactivity in 360-degree videos. In this study, we fill these research gaps by developing a playable and interactive campus virtual tour where potential enrollees can visit and tour the campuses remotely. In addition to a series of beta tests with enrolled students, we recruited students specializing in game development and their associates to evaluate the application using an extended Technology Acceptance Model (TAM) framework. In this evaluation, we found that the application was well-received by prospective students and was regarded as useful in delivering an immersive campus visit experience. From the TAM perspective, it was evident that there was a significant difference in how enrolled and potential students assess the application in terms of perceived usefulness and behavioral intention. The positive acceptance of the application led to the recommendation of playable campus virtual tours as a tool for improving student recruitment strategies.
Scopus ID: 85199900203
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
Throughout the centuries, Philippine poetry, in its modern form, has made its way online with the rise of digital technology. However, an online article suggests that most Filipino poems are left on library shelves unappreciated. This lack of demand causes limited amounts of publishing. Thus, bookstores and publishing companies would not invest in these writers’ works. With this, the researchers investigated whether there is a lack of appreciation and promotion of Filipino poetry in today's generation and whether a hybrid short film is an effective multimedia outlet to promote the said field. All of the results yielded positive in that the participants showed interest in Filipino poetry after the film and had positive remarks about its technical aspects. Initially, the pre-test assessment showed that the respondents' interest in Filipino poetry gained a weighted mean of 3.67 out of 5 overall. In the post-assessment, however, gauging whether the short film helped pick their interest, there was a notable increase of 0.96 in the weighted mean, making it an average of 4.63. This project shows that the short film impacted the viewers regarding attaining the proponents' goals.
Scopus ID: 85199868477
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
Aris M. Pulumbarit, Felix Jerome P. Dela Fuente, ... Arlene Mae C. Valderama
Conference Paper | Published: January 1, 2023
Abstract
Sprout It is a data-driven web based system approach designed for E and B Farm to manage mushroom farming production, aiding farmers in recording, organizing, and analyzing production batch details. It utilizes visual elements and follows the Kanban Agile Model, with React JS for the front end, Express JS and Node JS for the back end, and MongoDB as the database. With scores of 98.88% in functionality and 97.48% in compatibility testing, it highlights its reliability and cross-browser compatibility as a valuable tool for E and B Farm. The testing results proved that Sprout It delivers a seamless user experience for tasks such as recording, gathering, and analyzing information about mushroom production, thus demonstrating its usefulness to users of E and B Farm. The web management system is compatible with Windows, Android, and iOS devices, requiring an internet browser and connectivity. The system was evaluated using ISO 25010 by a diverse group of users, resulting in an average mean score of 3.61 and a standard deviation of 0.10. The evaluation confirmed the system's usefulness as a valuable tool for E and B Farm mushroom farmers, aiding them in their farm-related tasks.
Scopus ID: 85199923992
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 municipality of Brooke's Point in Palawan is tackling solid waste concerns. Manual waste collection logbooks constitute a significant issue. This approach causes data inaccuracies, record loss, human errors, and challenges reporting waste results to the Environment Management Bureau (EMB). Due to manual processes, the municipality's data collection, analysis, and statistical reports need to be revised. To solve the problem, the researchers developed a Solid Waste Management System (SWMS) titled “e-Kolekta: Solid Waste Management System (SWMS), A Sustaining Brooke's Point Palawan Solid Waste Department (SWD) Operations for Waste Analysis.” Implementing SWMS lets the municipality efficiently track waste sources and improve the submission of documentation to the EMB. The system provides valuable data and ideas for environmental and natural resource issues, ensuring accurate reporting and efficient, sustainable operations. Using time series forecasting, k-means clustering, and descriptive analytics within the system reduces human error, enhancing the data's accuracy. Moreover, the system safeguards against data loss by preserving information in a database in a secure manner. The researchers performed alpha and beta testing in Brooke's Point to evaluate the system's performance. The researchers collected the data from a purposely selected group of significant participants involved in the e-Kolekta project. The e-Kolekta SWMS was evaluated by four user groups: system administrators, employees, barangay administrators, and end-users. The system received positive feedback, with a weighted mean score of 3.92 from system administrators, 4.00 from employees, 4.00 from barangay administrators, and 4.00 from end-users. This collective agreement among the user groups highlights the feasibility and environmental friendliness of e-Kolekta as a waste analysis solution for the SWD operations in Brooke's Point, Palawan. The system's effectiveness is further supported by its favora...
Scopus ID: 85199880629
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
A case study of DITO telecoms is used to examine the effectiveness of door-to-door sampling caravans for telecoms firms to develop their subscriber base. The telecoms sector is changing; thus client acquisition strategies are being reconsidered. In this study, in- person engagement and personalized encounters are evaluated in the digital age. The mixed-methods research analyses quantitative and qualitative data. Customer comments and sales team observations during the door-to-door sample caravan provide qualitative data, while subscriber growth metrics, conversion rates, and demographic profiling provide quantitative data. Research shows that door-to-door sampling caravans may boost subscription growth. Personalized interactions build trust and rapport, which may overcome consumer skepticism about digital marketing. The technique also permits direct targeting of demographics and places to meet local requirements. However, scalability, resource allocation, and long-term effect must be considered. The research emphasizes strategic planning, training, and communication for caravan sales teams. The study found that although digital initiatives are important, offline approaches like door- to-door sampling caravans may provide a competitive edge. Telecommunications firms looking to vary their client acquisition techniques might learn from the research that in-person contact can maintain subscriber growth.
Scopus ID: 85199920699
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 paper is introduced as an exploration of how to utilize advanced technology and computing can assist individuals who are mute and/or deaf-mute individuals. It recognizes the rapid progress in technology and computing, which opens up opportunities to address the unique needs of this particular group. The research question addressed in this paper is how we can use accurate time sign language recognition to assist people suffering from mutism and deafness to make the healthcare system more inclusive and accessible to them, especially when taking visual acuity assessments which is normally needed for acquiring eyeglasses. The system comprises a microprocessor unit and a Python-based program that is used to facilitate the visual acuity assessment properly and accurately. The keyfindings of this paper suggest that realtime sign language recognition technology can significantly improve the healthcare experience for individuals who are suffering from mutism and deafness by facilitating communication and reducing barriers to access facilities for eye health care to person with disability like person who are mute and deaf. The study also highlights the need for further research and development so as to improve the accuracy and efficiency of sign language recognition technology for people who are mute and deaf.
Scopus ID: 85199910828
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 number of vehicles that travel on the road daily is escalating due to the rapid urbanization in the Philippines, particularly in the National Capital Region (NCR). It is difficult to ignore that the surge of private and public transit vehicles significantly impacts traffic flow across the country. Highway interchange is one of the alternatives that can reduce and avoid congestion and improve travel time by making transportation from one place to another more efficient. One of the prominent areas with heavy traffic is the Elliptical Road (ER) in Quezon City, or Quezon Memorial Circle (QMC), which is because motorists travel to busy highways like Commonwealth Avenue (CA), East Avenue (EA), Quezon Avenue (QA), and North Avenue (NA) also pass through it. The Annual Average Daily Traffic (AADT) records that contain traffic data were obtained to visualize the growth of traffic in the study area. The results showed that the Speed Performance Index (SPI) observed was 20 kph during the AM peak hour count and 18.67 kph for the PM peak hour count. Moreover, the average speed observed with the proposed interchange is 19.95 kph. Furthermore, the proposed interchange provided a slight improvement in the LOS compared to the existing traffic conditions in the area.
Scopus ID: 85199891103
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 energy efficiency of cell sites is of increasing importance due to the proliferation of wireless communication and the energy-intensive nature of their operation. Telecommunication macro cell sites provide coverage over large areas and contain various equipment, such as base stations, antennas, radio frequency (RF) components, transmission systems, and power infrastructure. These sites require active cooling elements controlled by microprocessors, making their energy efficiency an essential issue to address. The Power Usage Effectiveness (PUE) metric is a widely accepted assessment for energy efficiency within data centers. It has been applied in numerous studies, but there is a significant gap in research regarding its application in telecommunication macrocell sites. Due to the potential applications of PUE beyond data centers, this study proposes to extend this metric to telecommunications macrocell sites. In this study, the PUE-based operational efficiencies of telecommunication macro cell sites in the Philippines are determined using neurofuzzy inference method based on the collected data, which includes total grid consumption, genset AC consumption, facility power consumption, and DC power consumption. The study utilized data gathered from telecommunication macrocell sites situated in various regions of the Philippines, namely North Luzon, South Luzon, Visayas, and Mindanao. The study considered four different categories of telecom macro cell sites, namely Class A, B, Cl, and C2. A Sugeno type adaptive neuro-fuzzy inference (ANFIS) model is constructed based on exhaustive search using the two most influential input variables. A Root Mean Square Error analysis of the proposed model shows promising results.
Scopus ID: 85199916574
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
Rainwater Harvesting Systems (RWHS) were investigated in the Philippines for domestic level as a supplemental water resource for non-potable water usage because of the country's geographic location. This study designed a RWHS for a residential building in Imus City, Cavite, Philippines. The RWHS is designed considering the Optimum Tank Size (OTS) and its corresponding water yield and the evaluation of its water saving efficiency (Et). The optimum tank size was obtained by using the Simplified Approach which is based on the Inflow Volume. In order to measure the monthly water yield (MWY) while only accounting for 38% of the household's 12-year water demand, the research additionally utilized the Demand-After-Rain (DAR) approach, which is a simulation equation derived in the unique scenario of the Yield-After-Spillage (YAS) algorithm. The peak water demand of the household is 45 m3 but 38% of this was only used in consideration of non-potable uses only. The RWHS tank supplied a peak monthly yield of 12.88 m3 during the rainy season. The efficiency of the tank ranged from 28.45% to 48.74%. Moreover, the water saving efficiency of the tank was observed to have an average of 39.18% for the year 2010-2021.