Scopus ID: 85127588959
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-6
John Mark Cagurungan, Royvin Factuar, ... Jon Arnel S. Telan
Conference Paper | Published: January 1, 2021
Abstract
Solid waste generation is one of the world’s most prevalent challenges, especially in places with crowded populations and inadequate solid waste disposal strategies. There are several extant influencing variables on solid waste creation. In this regard, the researchers focus on five (5) elements or categories that contributed the most to solid trash generation. The researchers sought to determine which one has the greatest influence on solid waste generation in Barangay Sagrada Familia among these five categories. This will contribute to their future solid waste management plan through minimizing, segregating, and recycling the solid waste, which is one of the causes of their flooding problem. ANN (Artificial Neural Network) is a simplified computational brain model that is one of the most often utilized artificial intelligence in solid waste management. To get the desired outcomes, Matrix Laboratory (MATLAB) testing is essential. The researchers gathered information from studies, theories, and literature in the field. The researchers then performed a survey to gather data and existing data in the barangay and used Excel and Matrix Laboratory (MATLAB) to construct the model for a Neural Network analysis. Finally, the authors analyzed the Neural Network, with the goal value varying according to Pearson’s Correlation Coefficient (R).
Scopus ID: 85126632773
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-5
Conference Paper | Published: January 1, 2021
Abstract
Higher education institutions (HEIs) are looking for new methods to assess and monitor student learning outcomes, as well as objectively determine the circumstances that contribute to their growth in different courses. Advances in new analytics tools that put visualizations and dashboards on top of live student data are making learning analytics more powerful than ever. This study utilized a participatory design (PD) technique to formulate an analytics dashboard intended for higher education. The rationale behind the study lies on the belief that an information system must be designed for users, rather than users having to accommodate a wide range of adjustments just to utilize such application. Students and teachers were recruited for their feedback and observations, respectively. After multiple PD sessions, four main crucial factors were derived: (1) who has access to data, (2) importance of time, (3) learning analytics should help students make the transition to university life, and (4) it should be discipline-specific. This study opens up a discussion on the importance of human-centered design through the use of PD and how learning analytics dashboard can be maximized to its potential when deployed in the academe.
Scopus ID: 85127578555
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-6
Conference Paper | Published: January 1, 2021
Abstract
This device can be useful by rice field owners to decrease the number of pests in rice fields, also this will provide a non-chemical and energy saving way utilizing UV LEDs to attract bugs and capturing them then the system will be controlled by a microcontroller. Rice, the staple food of over half of the world’s population, is locally known in the Philippines as palay, bigas, or kanin. As population grows, demand for rice increases. Thus, the need for sufficient rice production is also needed. Different agrarian problems come with the production of rice the most destructive are pests. The results we’ve yield were, the pests were attracted best in UV light. Also, the laser sensors we’re effective in detecting and capturing the pests. Basically this device won’t harm the rice crops resulting to a greater production and more profit because it is a non-chemical device and energy saving way utilizing UV LEDs to attract bugs and capturing them.
Scopus ID: 85127601486
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-6
Conference Paper | Published: January 1, 2021
Abstract
The construction industry is heavily reliant on the production of laborers, and construction labor costs share a big part in the total cost of the projects. Due to the emergence of the COVID-19, the construction industry has been experiencing restrictions and limitations in their project sites, affecting labor productivity. This paper aims to determine which factors are critical in influencing Construction Labor Productivity in the National Capital Region (NCR) in the Philippines during the COVID-19 pandemic by obtaining each of the critical factors’ respective relative importance index. In order to achieve the study’s objective, the researchers asked experts under the category AAAA companies who have a site and managerial experience during the pandemic to participate in an online questionnaire survey. 34 factors were considered for this study and categorized into four groups: (1) Human/labor; (2) Management; (3) Technological; and (4) COVID-19. The findings of the study were able to identify the 10 significant factors affecting labor productivity during the pandemic: (1) Laborer’s Experience and Skill; (2) Availability of Materials; (3) Clarity of Instructions and Daily Task Assignments; (4) Coordination among Level Design Disciplines; (5) Shortage of Laborers, Construction Method; (6) Prolonged Delivery Period, Limited Number of Work Personnel Per Zone, Leadership of Construction Management; (7) Clarity of the Drawings and Specifications; (8) Communication among Laborers, Rework; (9) Social Distancing, Laborer’s Absenteeism; and (10) Availability of Personal Protective Equipment. The study can guide construction firms for efficient management of laborers during a pandemic to improve construction labor productivity and accomplish a cost-effective project.
Scopus ID: 85127594567
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-5
Diana Rose T. Rivera, Terrence Adrian Arce, ... Adrian Alan Palo
Conference Paper | Published: January 1, 2021
Abstract
In this paper, a Multi-Criteria Decision Analysis (MCDA) is utilized to provide a better strategy and increase the efficiency of solid waste management. The method aims to determine the suitable Waste-to-Energy (WTE) technology for Manila City, Philippines using a pairwise comparisons method known as Analytical Hierarchy Process (AHP). AHP utilized a hierarchy structure consists of objectives, criteria, sub criteria, and alternatives. The criteria selected were environmental, economic, technical, and sociocultural. The WTE technologies selected were anaerobic digestion, incineration, and pyrolysis. Results show that the environmental aspects with 63.80% is the chosen priority. It is followed by the economic and technical aspect with a close relative value of 14.86% and 13.32%, respectively. The sociocultural aspect is the least priority with 8.02%. Using the criteria, WTE technologies were scored and tabulated. After evaluation, it revealed that an anaerobic digester is suitable WTE technology for Manila City, Philippines. Using the chosen WTE technology, result also revealed that 249,318 m3 biogas can be generated after 21 days.
Scopus ID: 85127540524
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-6
Conference Paper | Published: January 1, 2021
Abstract
The threat of a massive spread of the SARS-CoV-2 virus in the Philippines prompted its government to implement community lockdowns all across the country. The first of which was implemented in Metro Manila beginning on 15 March 2020 and lasted up to 15 May 2020. During the lockdown, all schools were prohibited to conduct face-to-face classes while businesses were encouraged to implement work-from-home arrangements. FEU Institute of Technology (FEU Tech), located in Metro Manila, Philippines, was able to quickly adapt to the health crisis mainly due to its previous implementation of Canvas, an online learning management system, in 2017. The mechanical engineering department at FEU Tech revised its strategy in its implementation of its undergraduate Mechanical Engineering Project Study course (MEPROSTUD) to adapt to the class disruptions caused by the community quarantines imposed in Metro Manila. Comparing student performance before and during the pandemic, it was observed that there was a significant decline in oral communication and a significant improvement in written communication in MEPROSTUD1 and MEPROSTUD2, respectively. This paper documents the experiences of the mechanical engineering department at FEU Tech in its implementation of MEPROSTUD courses during the pandemic and intends to provide additional information to other engineering schools about how to remotely implement their undergraduate thesis courses.
Scopus ID: 85127580968
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-5
Conference Paper | Published: January 1, 2021
Abstract
Vital sign monitoring is a core component of nursing care as information regarding ‘vital functions’ strengthen medical diagnoses. Consequently, various measurement devices have been proposed and utilized from wearable devices to custom engineered equipment. To contribute to the existing innovations of monitoring devices for vital signs, this study proposed a different variation of such a medical device by incorporating the principles of an expert system together with its own wearable vital sign analyzer. At this stage of the project, the device (subsequently referred to as iVital) was a proposal with a prototype as final the product. The primary goal of iVital is to provide both patients and healthcare experts to continuously monitor vital sign measurements remotely. Further, and most importantly, it integrated an expert system where other important data (e.g., patient history and medical records) detectearly signs of clinical deterioration. This work, albeit prefatory, is evidence of how expert systems can be used in healthcare.
Scopus ID: 85127610590
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-5
Conference Paper | Published: January 1, 2021
Abstract
VIP-Guide: Development of Pedestrian Crossing Guide for the Visually Impaired people aims to help in the difficulties encountered in walking alone of the visually impaired persons on the streets, in crossing pedestrian lanes and identification of obstacles that might be in front of them. With the system, it will be able to aid them in terms of the different notifications provided by the system. Location from GPS module, Sound and vibration that alerts them whenever there is an obstacle detected. Upon crossing the street, a counter which is synchronized with the system counting on when to cross the street safely was also provided. Visually impaired persons will no longer need a companion whenever they will go outside. The VIP-Guide will be their companion that will surely make them safe even if they are alone and in the outdoors. A cane was also part of the system which will help them on the notification if an obstacle is near. It has a button that would allow the user to press it when an emergency takes place, will send its location through SMS, such feature will then be an aid for them to ask for help. A part of the system allows the user to connect an earphone to be able to hear notifications from the system, such as, “stop and go”, “do not cross” and a sound of the counter which is synchronized to the system’s counter on the traffic light. This feature will surely aid and guide visually impaired persons in their daily activities outside of their homes.
Scopus ID: 85127584267
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-6
Conference Paper | Published: January 1, 2021
Abstract
Quezon City is highly urbanized, it is both large and vast, covering one-third of the total land area of Metro Manila. It boasts a rapidly growing income and occupation for its population, the city with the most people. With the Philippines situated along the Pacific Ring of Fire and the path of the Typhoon Belt, this makes it susceptible to many natural disasters, not just storms and earthquakes. These disasters include floods, landslides, and volcanic eruptions, sometimes these disasters happen consequently or much worse, altogether. The creation of a disaster management system is vital to aid the people of Quezon City. In this study the researchers have developed an Incident Management System for the Quezon City Disaster Risk Reduction and Management Office, named AlertQC.
Scopus ID: 85127588001
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-6
Conference Paper | Published: January 1, 2021
Abstract
Nutrition research is now entering the subfield of personalized nutrition, where dietetics professionals are using it as an approach to support individuals in formulating unique dietary interventions and guidelines. Despite a large number of meal recommender systems that endeavors to incorporate the concept of personalized nutrition, the existing artifacts remain preliminary in the nutritional health context largely due to lack of integrated nutrition knowledge. Hence, a nutrition system called Virtual Dietitian (VD) was developed and grounded on the Nutrition Care Process and Model. Unfortunately, the beta evaluation (Phase 1) revealed some vital modifications that are needed to accomplish as per the feedback from experts. Hence, another sprint of development was achieved to comply with the requirements set forth by experts. This study reports the alpha evaluation (Phase 2) of 397 non-expert users on the revised VD on three factors: acceptability, usability, and quality. Using the scores from these factors, statistical analyses were performed to determine if there were significant differences between these scores and variables linked to users’ profile. Results show that VD passed on all factors, and there were significant differences between the scores and users’ profile (living condition, current physical activity, nutritional status, monthly household income, and average daily meals). Several recommendations were still offered on how to move beyond the existing features of VD and with considerations to relevant modern technologies.