Scopus ID: 85185717085
2023 2nd International Conference on Image Processing and Media Computing (ICIPMC), (2023), pp. 89-94
Kriselyn Cabading, Orlando Malaca, ... Roben Juanatas
Conference Paper | Published: January 1, 2023
Abstract
While several content management systems (CMS) and audience analytics tools are available for digital signage in the market, they are often sold separately and can be expensive. Therefore, this project aims to design a cost-effective and unified web-based solution for digital signage that combines content management and audience analytics functions, reducing the need for multiple purchases. This can be achieved by utilizing Raspberry Pi technology, known for its cost-effectiveness and versatility in integrations, along with a face recognition camera and machine learning methods. This proof of concept demonstrates the integration of these components to create a dynamic digital signage system. Overall, this project has the potential to offer an affordable solution for companies aiming to efficiently manage and optimize their digital marketing strategies, especially in the Digital Out-of-Home (DOOH) Advertising space.
Scopus ID: 85190068979
2023 1st IEEE International Conference on Smart Technology (ICE-SMARTec), (2023), pp. 72-77
Conference Paper | Published: January 1, 2023
Abstract
Relative humidity is an important environmental parameter and is widely used in various fields. Prediction of humidity levels is crucial for climate modeling, heat stress, air quality forecasting, and public health. Machine learning techniques have shown potential for predicting humidity due to their nonlinear nature. However, there is a research gap in humidity prediction in the Philippines, specifically the lack of studies utilizing the available parameters provided by PAGASA, presenting an opportunity for further investigation and development of models for predicting humidity levels in the country. In this study, the researchers used a publicly available dataset from PAGASA containing weather measurements from 2000 to 2022 in the Philippines. Various machine learning models were trained and tested, with hyperparameter tuning performed using Bayesian optimization. The Gaussian Process Regression model with optimized hyperparameters achieved the best performance in predicting relative humidity, with the lowest RMSE and highest R-squared values. This study provides a reliable way to predict humidity levels in the Philippines based on weather parameters.
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: 85199865297
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
Coding regardless programming languages is an expected skill evaluated in computing courses [1]. The majority of programming research has been on student challenges and mistakes that compromise technical accuracy [2]. Prior study has shown that debugging approaches are utilized to create response in learning coding [3]. The goal of this paper is to build a web-based intelligent tutoring system (ITS) application for freshmen learning C language that predicts tinkering activity using constraint-based modeling (CBM) and machine learning algorithm. The system was created for capturing C code samples focused on assignment statements, which would then be sent to the tutor model for submitted code assessment and response generation using CBM. This paper expanded the first system prototype of Arguson et al. [4] which was pilot tested on 2 synchronous coding classes among 31 freshman tertiary students composed of 9 BS Computer Science and 22 BS Information Technology respondents. The dataset was taken from the aforementioned first prototype, whilst the student model was built using the data science approach for building the student model. Arguson et al. [5]’s study was used to construct a modified CBM that centers on assignment statements. The model statistically predicted tinkering on both numerical value problems and incorrect expressions performed by beginner programmers, according to the results. In the development of the final ITS prototype, a novel detection of tinkering activity in the context of C coding focused on assignment statements was deployed. Adhering to Scrum framework, the authors were able to supervise the software project in this study. It emerged that tinkering activity can be predicted using compiled inexperienced C programming logs as well as tailored-fit feedback is required to comprehend the aforementioned programming language.
Scopus ID: 85199864380
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
To help the future of the industry, the researchers developed a mix design of concrete with varying water-cement ratios from 0.50%, 0.55%, 0.60%, and 0.65% to be used as recycled concrete aggregates. These varying mix designs will determine the effects of the porosity of the RCA on a new concrete mix. Initially the compressive strength test results of the RCA display that as the Water-cement ratio increases the Compressive Strength decreases which can clearly see that Samples with 0.65% W/C ratio display an average compressive strength of 27.29 MPa which does not achieve the C30 standards. Using the Rapid Chloride Penetration Test the amount of electrical charge flows to the sample was computed, based on the results obtained from the rapid chloride penetration test, it can be concluded that the porosity of the recycled concrete aggregates has a significant impact on the new porosity of concrete when a mixture of both recycled aggregates and natural aggregates are used. The researchers found out that from a controlled sample which is a normal concrete, the value of its ion penetration gives an average of 3431.33 Coulombs. On the other hand, RCA 1 achieved an average of 5466 Coulombs, RCA 2 passed an average charge of 5681.33 Coulombs, and RCA 3 obtained an average charge of 6528.67 Coulombs, these indicate that the higher the water-cement ratio on the recycled aggregates used will contribute to the percentage of the void of the concrete that will give the ion a passageway to penetrate the concrete and obtain a higher value of charge.
Scopus ID: 85199886566
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
Among computer programmers and developers, the user-oriented question-and-answer website of Stack Overflow is a useful platform for sourcing solutions to programming problems, exchanging insights, and accessing a wealth of shared knowledge. However, the timeliness of responses on this platform is frequently a limiting factor that ChatGPT could potentially address. The goal of this study was to explore the preferences of novice programmers between these platforms for finding answers to their programming questions. Anchored in the Technology Acceptance Model (TAM) and the Information Foraging Theory (IFT), the study investigates users' perceptions of usefulness, ease of use, information scent, cognitive effort, as well as overall preferences. Our findings show discernible variations in preferences within the group of students (i.e., application and website developers). In line with these results, we discussed theoretical and practical implications and suggested a dual-pronged approach to leverage both environments as coding assistants in computer programming education.
Scopus ID: 85190866025
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 surge in the digital arts industry has brought forth critical challenges related to intellectual property (IP) and copyright protection. This paper introduces “Stella Vee,” an innovative isometric action-adventure video game developed to illuminate these pressing issues. Stella Vee immerses players in scenarios that mirror the trials faced by artists grappling with intricate IP dilemmas. This project not only presents Stella Vee but also extracts instrumental theoretical, practical, and technical insights cultivated from its evaluation. First, theoretical insights delve into player engagement and the role of visual aesthetics in gaming. Then, practical recommendations guide game developers in enhancing visual design as well as refining user interface (UI) and control mechanisms. Finally, on a technical level, implications extend to UI development and input method refinement. Within the confines of this game project, we aim to provide insights into the development of captivating, instructive, and user-centric video games poised to confront the paramount challenges surrounding IP and copyright preservation in our burgeoning digital epoch.
Scopus ID: 85199903161
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
The Philippines has unique and rich culture; thus, it is also part of its identity. A preliminary test the researchers conducted revealed that the consumers do not consider street food as part of the culture. The Hybrid 2D Animation Documentary tackles the role of street food and street food vendors in the cultural aspect. The evaluation process used in the study is a comparative analysis of the set of pre-assessment and post-assessment evaluations from 30 respondents. The result showed that there had been an increase in value in recognition and acknowledgment of street food after consuming the material. The researchers recommended that street food vendors start acknowledging their cultural role, that multimedia art students create more content featuring the cultural role of street foods, that the teachers introduce the representation of street foods, and that future researchers explore the sanitation issues of street foods.
Scopus ID: 85199914523
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 assessment of students' academic performance based on ongoing records plays a vital role in enabling timely interventions for successful graduation. Variances in degree program completion times emphasize the need to tailor subjects and courses to individual student requirements. However, limited research exists on student degree completion, presenting challenges related to diverse student backgrounds, information gaps in courses, and accommodating evolving progress in predictions. Educational institutions are adapting flexible curricula, necessitating a diverse range of courses and informed decision-making for academic planning. Structured course sequences in universities ensure a gradual buildup of knowledge and skills, aiding students in tackling more complex subjects progressively. A decision-based recommendation system for predicting graduation time was developed and evaluated using the ISO/IEC 25010 Software Quality Model. This model included parameters like functionality, performance, compatibility, usability, reliability, security, maintainability, and portability. Each parameter was assessed to ensure the system's functionality, performance optimization, cross-platform compatibility, user-friendliness, reliability, security, ease of maintenance, and adaptability to different environments. Through this evaluation, the system's quality and efficacy were comprehensively validated, confirming its ability to achieve intended objectives and meet user requirements.
Scopus ID: 85199914629
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
One of the options for addressing the water deficit is Root Zone Technology (RZT). Since it doesn't require any power to operate, it recycles wastewater (WW) using a natural water filtering process without harming the environment or consuming precious energy resources. The target of this research is to assess the efficacy of a prototype used to filter greywater for toilet flushing as well as the potential cost savings on a household's monthly water bill. The RZT, also known as artificial wetlands, is an efficient and sustainable wastewater filtration option, according to the study's findings, with the potential to reduce water costs. Reliance on clean water can be decreased by using the treated wastewater for a variety of non-potable purposes. Even though installing a root zone system can be more expensive up front, the long-term cost savings make it a practical alternative for wastewater treatment, especially for establishments trying to cut back on water usage while minimizing environmental effect. A household can save about 18% of the household water bill by utilizing the RZT system. The findings of this study offer an alternative solution for preserving clean water.