Scopus ID: 85159418957
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
The increase in population equates to the increasing demand of the real estate. Managing real estate manually takes a lot of time and manpower, which is prone to damage and misplacement of documents and client’s data. Customer support and community were also considered. Real-Estate Management System automates complex tasks and duties. Sales analysis through customer segmentation was implemented in the system to come up with better sales and understand the current, possible, and future customers of the real-estate company. Agile Methodology was applied in developing the system, in which different users – who has different roles and administrator rights, are needed to access, and manage the system. Testing, verification, validation, usability testing, and acceptance testing were done to ensure that the requirements needed were met, having both alpha and beta testing for the software. The researchers conducted a survey questionnaire based on the FURPS Criteria and used purposive sampling to gather data from both technical and nontechnical respondents, 2 IT Experts, 3 IT Personnel, 5 Company Staffs, 5 Company Agents, and 25 Customers. Based on the evaluation, the respondents strongly agreed that the Research Project passed the criteria and can be used by the client, therefore considered as an acceptable project.
Scopus ID: 85159440860
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
Emergency response is a crucial method for saving lives because the Philippines is one of the nation that is most vulnerable to disasters. Unexpected disasters happen all the time. The survival of those who were immediately impacted by a disaster depends on what happens in the initial hours after the accident. Even a minute difference in emergency response time has the potential to save or cost lives. Through this, the researchers were able to implement Dijkstra’s method to show the shortest paths in an application for emergency response. The ideas are organized in a way that suggests potential paths that first responders could take to locate victims. This article outlines a step-by-step process for choosing the optimum approach. Agile methodology was employed by the researchers when creating the application. The respondents gave the system a 4.52 out of 5 rating on the basis of the ISO 9126 evaluation tool, with a ‘Very Acceptable’ interpretation result. Thus, the system is now prepared for deployment.
Scopus ID: 85159487630
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-7
Conference Paper | Published: January 1, 2022
Abstract
As the Philippine Government continues to encourage the use of modular construction for its fast completion rate, still, the said innovative method is not well-known and practiced in the Philippines. The aim of this study is to analyze the modular construction system as a feasible solution for the Philippine's housing crisis and construction delays, as well as for its wide applicability in the Philippines for residential housing projects by the means of comparing its project duration to the conventional way. This seeks to identify if there are significant differences between the two construction methods. The Jamovi Software was used to execute the one-tailed independent samples t-testing. A survey was also done to compare and validate the results of the statistical analysis. Based on the findings, modular construction was found substantially faster, but in some instances, the difference between the overall project duration of conventional and modular construction does not vary significantly. Based on the survey result, 77.67% of the respondents agreed that modular construction is faster in terms of project duration. Although the numerical results revealed that the differences are not considered as statistically significant, still, modular construction takes the upper hand by looking at the average construction time, in which the survey respondents also believed. With that, the potential of modular construction can still be recognized as a feasible solution to the construction delays and the Philippines' housing crisis.
Scopus ID: 85159450150
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
Slope stability of homogenous earth dams is a very important design analysis to consider since earth dams are prone to failure on slopes due some factors such as material properties and the design slope of the downstream side. SLOPE/W simulation using the method of slices was utilized to determine the effect of the input parameters in a Mohr-Coulomb analysis including the unit weight, cohesion, and angle of internal friction (Ø) of the dam material to be used. Hydraulic structure designers encounter difficulties in analyzing the best design which include the proper slope due to the complexity of the required input parameters and other factors affecting the stability of the dam. It is the main objective of this paper to provide a prediction model of the slope stability (SS) of homogenous earth dams using neural network (NN) particle swarm optimization (PSO) model. The model output will be of great contribution to the designers in investigating the proper earth material and slope design to consider both the structural integrity and economic aspect of the structure. There were seven (7) slopes and 14 earth materials analyzed in the study. The particle swarm optimization technique was implemented and utilized to train and optimize the initial neural network model. The material parameters such as unit weight of the soil (kN/m3), cohesion (kPa), angle of internal friction Ø (degrees), and slope were utilized as the input variables in the study while the factor of safety (FOS) values was used as the output variable. The developed NN-PSO model has an R (all) value of 0.99752, while the MSE of the developed NN-PSO model is 0.0021844. The values of R and MSE are close to the ideal values of 1.0 and 0 respectively, showing further that the model is satisfactory. Using the Garson’s algorithm, it was observed that the angle of friction is the most significant parameter to the FOS.
Scopus ID: 85153526191
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
Following recent advancements in automatic speech recognition (ASR) technologies, we replicated an experiment four decades ago that utilized voice as an input modality for computer programming. We also extended this experiment by investigating the pedagogical effectiveness of ‘programming by voice’ in terms of attitude, self-efficacy, code correctness, and coding speed. A total of 96 students from an institute of technology in the capital region of the Philippines were randomly selected to participate in a quasi-experimental study using a one-group pretest-posttest design. We subjected students to programming activities with different levels of difficulty to compare voice and keyboard. Our results show that although voice decreases negativity, it likewise decreases control, which means that both attitude and self-efficacy are positively and negatively affected, respectively. Using voice as an input modality also allows students to code faster when the activities are easy but not when they are moderate or difficult. Code correctness analysis shows that voice is only preferable for easy and moderate machine problems. With the deviation of our findings from an experiment four decades ago, we can now conclude that ASR technologies and voice as input modality provide substantial implications and new opportunities for teaching and learning computer programming.
Scopus ID: 85159458476
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
The liver is the human body's largest internal organ. Globally, liver disease is considered the cause of approximately 2 million yearly death – whereas the 11th and 16th worldwide leading causes of death are cirrhosis and liver cancer. In the Philippines, according to the Department of Health (DOH), liver cancer is ranked as the 3rd leading cause of death. In most cases, surgery may be considered a possible cure if detected at an early stage. However, there is no efficient early detection method for liver cancer. In this paper, multiple machine learning methodologies are modeled to provide diagnosis classification of liver disease based on the laboratory parameter readings. Based on the results for all models, the most accurate prediction is made by ANN at 89%, followed by SVM at 79.5%. The results establish that AI-based machine learning approaches may be utilized for assisting medical-related diagnosis.
Scopus ID: 85159433758
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5
Janice A. Abellana
& Ephraimuel Jose L. AbellanaConference Paper | Published: January 1, 2022
Abstract
The Philippines has both private and health care facilities, and as far as better health is central to human happiness and well-being [12]. It also makes an important contribution to economic progress, as healthy populations live longer and happier, are more productive, and save more lives [5]. Amongst factors that influence health status and a country's ability to provide quality health services for its people [15]. The Manila City is one of the established cities in Metro Manila named as the capital of the Philippines. It is situated as the center of everything, with a total population of almost 13.9 million people, a good place for commercial and capital investments since Manila City is near to everything. With the advent of innovation, Philippines climbs in as readiness for technological change; they say that Southeast Asia, the Philippines is the fourth most tech-ready economy [3]. A sound digital ecosystem concept should be applied to preserve a decent approach to improving the health and wellness of each constituent in the City of Manila by ensuring that all Filipinos have access to suitable health care through functional service delivery networks. A crucial first step in ensuring that all Manilenos comprehend the advantages of good health and may refer to the city as "Healthy Manila City" is to involve both the public and private sectors in the city.
Scopus ID: 85159394182
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
Corrosion is one of the biggest problems of reinforced concrete structures prone to high chloride environments such as ports and harbors. Due to a lack of studies that can support the use of steel fiber reinforced self-compacting concrete, researchers are still in dispute regarding the effect of using steel fibers in chloride-rich environments. This paper explores the use of neural network modeling to precisely predict and further analyze this problem. Twenty-six different mixtures of steel fiber reinforced self-compacting concrete with varying amounts of cement, water-cement ratio, superplasticizer, and steel fiber were used to derive the feed forward back propagation neural network and compared to a derived non-linear model. The derived neural network model with fourteen hidden nodes and tansig as transfer function has an R-squared of 0.949 for the training. The comparison shows that ANN has superior predicting capability compared to non-linear modeling even with a limited number of data. Parametric analysis was performed and found that steel fiber shows improvement in the corrosion resistance of concrete for mixtures with low to moderate water-cement ratio and an opposite behavior for high water-cement ratio. This is due to the presence of voids formed around the surface of the steel fiber due to capillary action. These voids serve as highways for chloride ions.
Scopus ID: 85159483095
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
By early 2020, COVID-19 has caused a global pandemic which led to an enormous number of challenges worldwide in various sectors. The Philippine government has implemented multiple quarantine guidelines and travel restrictions to ensure the people’s health and safety. However, the International Labour Organization projected an initial economic and labor market disruption affecting 11 million workers, or about 25% of the Philippine workforce, due to the pandemic. Therefore, the government, thru the concerned agencies continues to encourage employers to implement alternative work plans such as a work-from-home (WFH) operation in compliance with the established regulations in line with existing laws and policies. In line with the telecommuting concept, various research has already been performed, however, some were regarded inconclusive and require further study. Hence, in this study, a Web application was developed along with an embedded fuzzy model to evaluate the telecommuting capability assessment of employees. The proposed web application with embedded fuzzy model is capable of providing capability assessment using the four main input variables which are also relatively characterized for possible telecommuting cost assessment.
Scopus ID: 85159496393
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2022), pp. 1-5
Kimberly Ann V. Yano, Mike Aldrin D. Cabaluna, ... John Manuel B. Vergel
Conference Paper | Published: January 1, 2022
Abstract
Flooding is a perennial problem in the Philippines, particularly in its capital city of Manila. Sampaloc is one of the barangays in Manila vulnerable to flooding according to the Flood Risk Map of Metro Manila. The researchers considered España Boulevard as the area of study since it is one of the most flood prone roads in Manila, according to Metro Manila Development Authority (MMDA). The study is focused on the analysis of Rainwater Gardens as an additional flood mitigation in España Boulevard using Storm Water Management Model (SWMM) simulation. Studies have proven that rainwater garden is considered as one of the most effective, simplest, and low-cost methods to address abrupt flooding. Moreover, it is easy to install, maintain and has a lot of advantages such as removing nutrient-based pollutants such as nitrogen and phosphorus, improving air quality, money saving and water conservation and improving environmental aesthetics. The data was collected through online surveys. The gathered data was calibrated and simulated using SWMM. As per the results, the rainwater garden is effective as an additional flood mitigation system since it can reduce the flood depth up to 19.42% and 14.78% for 25-year return period and 50-year return period storm, respectively. The delay of abrupt flooding is beneficial to the residents of flood prone areas. In real life scenario, the 0.15 m difference in flood depth for a 25-year return period storm and 0.17 m difference in flood depth for a 50-year return period storm will serve as longer time for evacuation of the residents when excessive flooding occurs. Moreover, rescuers will have more time to respond to affected areas and save more people.