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: 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: 85159396340
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
This research project presents the development of a video game entitled “Chyilax” – an innovative three-dimensional video game about a person’s struggle against mental breakdown while trying to alleviate its symptoms. The game was developed to be a medium that would raise awareness about the risks and conditions of mental health breakdown. The player can choose to take the role of either a college student or a working adult, both experience symptoms due to a tangled situation in their past. The player was tasked to help the protagonist to overcome the symptoms before it leads to a nervous breakdown. In order to help the protagonist, make up with the people who got involved in their past circumstances through puzzle-solving, role-playing, and problem-solving. Chyilax was developed using Unity as its game engine while 3D models were created using Autodesk Maya. The project was tested and evaluated via a virtual open house. The questionnaires were collated online using an online form that assesses the following as criteria for the game: effectiveness, visuals, mechanics, audio, and enjoyment while the website: functionality, usability, reliability, performance, and supportability as criteria. The game received an overall mean of 4.32 while the website received an overall mean of 4.35, both of which have a verbal interpretation of “Strongly Agree”, which interprets that the objectives were achieved and drawn impact to raise awareness on issues focusing on mental breakdown.
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: 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: 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: 85159233468
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
In this study, we developed a PC-based video game that aims to promote awareness of Persistent Depressive Disorder (PDD), also known as dysthymia. Anchored to the survival horror subgenre and a hack and slash gameplay, we constructed "Escape from Oblivion" as a single-player platformer game that highlights eerie game world environments and scenarios indicative of mental health conditions. It exhibits different mental states under terrible circumstances, forcing players to see and feel what it is almost like when suffering from a mental health condition like PDD. With the necessary expertise on PDD and mental health, we consulted with an expert to co-design the video game. We also evaluated the game prototype with players in terms of game characteristics. The initial version of our game received acceptable scores during the virtual open house event. Although there are several enhancements to be incorporated, our video game Escape from Oblivion demonstrates potential in being a promotional tool for mental health awareness.
Scopus ID: 85159403155
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
Computer programming is now one of the most critical competencies taught in computer courses. [1]. Students require any assistance they can get when learning programming in order to acquire the necessary abilities to excel in the field of computing [2]. This paper aims to investigate the C compiler error logs of Computer Science freshmen students. A prototype was developed and pilot-tested to obtain C source code snippets focusing on assignment statements. The dataset consisting of 1013 logs were extracted from the initial prototype then followed the data science approach of [3] for pre-processing. A Person correlational analysis was conducted on eight features to investigate the relationship between all variables in the dataset. Results of the study show that there is a strong relationship between wrong expression and operator (0.806), wrong expression and numeric value (0.794), operator and numeric value (0.663). Implications of this study is also helpful to computing instructors to improvise the delivery of their teaching pedagogy.
Scopus ID: 85144027068
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), (2022)
Renato R. Maaliw, Alvin S. Alon, ... Alexander A. Hernandez
Conference Paper | Published: January 1, 2022
Abstract
Automated medical image analysis driven by artificial intelligence can revolutionize modern healthcare in producing swift and precise diagnostics. Due to doctors’ varying breadths of training and expertise, traditional leukemia screening methods frequently involve considerable subjectivity. Using a 3-stage transfer learning approach and stacks of convolutional neural networks, we constructed an efficient pathway for automatic leukemia identification and classification through various phases. Experimental findings disclosed that our pipeline powered by InceptionResNetV2 architecture decisively affects the accuracy with 99.60% (normal vs. leukemia) and 94.67% (normal to L3). Moreover, it reduces error rates by 1.65% and 6.05%, respectively. A consistent result via the T-test confirms our proposed framework robustness with a significant positive difference of 4.71% over the standard transfer learning mechanism (p-value = 0.0001 & t = 0.85310). This research could aid and support oncologists in early yet reliable prognoses of acute lymphoblastic leukemia types.
Scopus ID: 85141846470
2022 9th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), (2022)
Conference Paper | Published: January 1, 2022
Abstract
With the aggravation of the Russia-Ukraine conflict and the rising involvement of foreign powers, it has become more substantial to identify whether an endorsement or condemnation of war efforts is the universal message. This goal is empowered by the clear literature on the vital linkage between public opinion and international relations. Thus, we investigated the sentiments and emotions of the international community on the Russian invasion of Ukraine. A total of 27,894 tweets posted within the first day in the #UkraineRussia hashtag were analyzed. Results show that "war", "people", "world", "putin", and "peace" were some of the most frequently occurring words in the tweets. There were more negative sentiments than positive sentiments, and sadness was the most salient emotion. To date, this study is the first to examine the Russo-Ukrainian War and one of the few sentiment and emotion analyses for exploring Twitter data in the context of modern war.