This project aims to develop an augmented reality mobile application about endangered marine species. The program has made use of augmented reality technology to scan target photos on the card and show three-dimensional reconstructions of six endangered marine species. When a target image is detected, the program will show the 3D model of the sea species to the user. The application was built using Vuforia and Unity, the 3D models were modeled with Substance Painter and ZBrush, and the card layout was designed with Adobe Illustrator. The created system is one of the country's first augmented reality (AR) apps regarding endangered marine species, with the purpose of spreading information and increasing awareness about the situation of endangered marine species via AR. To demonstrate that the program is productive and user-friendly, the researchers surveyed ten IT experts. The survey findings demonstrate that the approach is effective and useable for sharing information and increasing awareness about the state of endangered marine species. Future researchers may enhance the system by incorporating some of the features and refining the mobile application so that people can still use it without the visual book.

The college entrance examination is vital for program admission. Typically, entrance examinations are conducted onsite using paper and pens. When the COVID-19 pandemic hit, the entrance examination was lifted and physical gatherings were prohibited. Since many schools cannot offer an online admissions exam, they rely on grades and interviews to admit and qualify students for degree programs. However, academic standards differ between schools, and grades may not be enough to assess students' capacity. Thus, this study aims to develop an Online Proctored Entrance Examination System (OPEES) with Degree Program Recommender for colleges and universities to help institutions administer onsite or online entrance tests and generate course suggestions using a rulebased algorithm. The study employed the scrum methodology in software development. OPEES allows applicants to submit applications online, and institutions can manage user accounts, tailor exams and degree programs’ criteria, manage exam dates, and assign proctors. Online proctoring using Jitsi, an opensource multiplatform voice, video, and instant messaging tool with end-to-end encryption, ensures exam integrity. The system’s features were evaluated by 102 respondents, comprised of end-users (students and school personnel) and IT professionals, using the FURPS (Functionality, Usability, Reliability, Performance, and Supportability) software quality model. In the software evaluation, the overall system proved to be functional as perceived by the respondents, as manifested by the mean rating of 4.61. In conclusion, the system's architecture was deemed feasible and offers a better way to streamline admission examinations and determine a student’s applicable degree program by enabling institutions to customize their exams and degree program requirements. It will be beneficial to look into recommendation system algorithms and historical enrollment data to improve the system’s use case.

Online sexual harassment has been an ongoing problem in this technological era. Gender-based violence has transformed online, making it more difficult for users to act on, as resources and knowledge about the issue are limited. Therefore, the study aims to contribute to introducing a safe space for the victims and an informational aid for potential perpetrators using animation series. They are composed of hybrid animations, a digital campaign through social media sites, and a website–that will serve as a medium for victims/potential victims to agencies that will help them assess their situations and publish multimedia materials. In order to assess the effectiveness of the materials produced for the target audience, which was the youth population, a pretest and posttest evaluation was conducted. The results showed that prior of the evaluation the youth were aware of online sexual harassment, but after assessing our digital campaign and its components they were now fully aware of the issue. This concludes that educating people using modern solutions of disseminating information through our digital campaign was effective. The key solution corresponds to the research main goals which are: A hybrid animation series, digital campaign, and the website, which to educate and raise awareness to online sexual harassment.

Efficient and reliable medical image analysis is indispensable in modern healthcare settings. The conventional approaches in diagnostics and evaluations from a mere picture are complex. It often leads to subjectivity due to experts' various experiences and expertise. Using convolutional neural networks, we proposed an end-to-end pipeline for automatic Cobb angle measurement to pinpoint scoliosis severity. Our results show that the Residual U-Net architecture provides vertebrae average segmentation accuracy of 92.95% based on Dice and Jaccard similarity coefficients. Furthermore, a comparative benchmark between physician's measurement and our machine-driven approach produces an acceptable mean deviation of 1.57 degrees and a T-test p-value of 0.9028, indicating no significant difference. This study has the potential to help doctors in prompt scoliosis magnitude assessments.

HWYL (meaning “a stirring feeling of emotional motivation and energy”) is a 3D isometric puzzle adventure game for Android devices. The whole game revolves around the adventures of Thomas as he unknowingly helps the mayor and the townspeople in solving environmental problems through playing meaningful mini games. The mini games comprise of different casual games that focus on teaching the players about the major environmental issues such as ozone depletion, and disposal of wastes. The interactive learning experience educates players how to mitigate environmental problems. The game garnered very satisfactory results from the play testers, proving that the game has been successful in promoting environmental awareness through edutainment, and the game as a system works as intended with compliance to software quality factors.

Sentiment analysis has been extensively researched for the purpose of analyzing qualitative data using a computation technique. However, there are only a few research papers that focus on analyzing sentiments in terms of teachers’ evaluation. Analyzing comments on teacher evaluations can lead to understanding more of what faculty development programs can be provided to improve teachers’ academic performance. Thus, this study presents an opinion-mining system utilizing the Bayesian technique of the Naïve Bayes algorithm. The descriptive research method was used in this study, with a questionnaire serving as the instrument for testing the acceptability of the application. One hundred (100) evaluators were surveyed for the teachers’ evaluations. The application performance attributes are defined using the functionality, usability, reliability, performance and security (FURPS) model. The mean formula was used to analyze the data. The usability and security were evaluated as perfectly acceptable, with a weighted mean of 4.64, and 4.56, respectively. Furthermore, the functionality, reliability, and performance were evaluated at acceptable evaluation ratings with a weighted mean of 4.29, 4.02, and 4.11. The overall quality of the system was given an acceptable rating with a weighted mean of 4.32, indicating that the application provided and managed ratings and comments on individual teachers’ performance.

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.

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.

In 2021 COVID is still prevalent, thus remembering and practicing proper hygiene is a must for everybody. Practicing good hygiene is one of the ways we can protect ourselves and others from contracting the virus. The information and reminder of practicing good hygiene can be disseminated in many ways such as via flyers, social media post, news announcement and more. Today knowing that games are becoming mainstream it can be said that with the use of games, we can also spread awareness. Thus, this paper presents the development of the game ByeRus – is a 2D Android exclusive game where it reminds or promotes the practice of proper hygiene. This paper describes the game design, related literature, result and discussion, conclusion and recommendation. The game has been well received by the surveyors and it has achieved its purpose by spreading awareness and reminding people to practice proper hygiene. With this, games can give a positive impact back to society, though more research is required.

In this study, the Smart University came out of the concept of smart cities by applying the principles of smart cities to the operation of university. The Smart University is a vision where the University, as a platform, provides foundational context data to deliver the university of the future. To deal with this reality, the researcher developed a framework for transforming a traditional university into a Smart University, which is more efficient, effective, and has more involvement from both students and teachers, all working together to accomplish the shared goal of improved learning. To achieve this objective, the researchers propose to develop a Technology Management Framework that will address issues and challenges to be considered in establishing and adopting a Smart University in the Philippines. The study will also measure the level of preparedness on Smart Universities among the students, teachers, university administrators, and IT consultant and practitioners that serve in different government agencies. Finally, the paper will also address adaptability of universities and to measure the Level of Smartness of Universities in Metro Manila. This study adopts a mixed-method approach that combines qualitative and quantitative research approaches. The authors also used the sequential exploratory design method. The researchers applied the Nominal Group Technique to acquire knowledge from the group of experts for the qualitative portion of the study. Cronbach's alpha is used by the authors for the designed survey instruments that are taken from the Nominal group. Cronbach's alpha is a tool used to evaluate the internal consistency, or reliability, of a collection of scale or test items. The researchers used the Friedman non-parametric hypothesis test for the Level of Smartness ranking. The outcome of the survey instrument uncovers the strength and weaknesses based on the Level of Smartness every university participant. The authors concluded that the developed Technology Management Framework for Smart University System in the Philippines is aligned with the literature and the available systems and applications. These standards are clustered in the three pillars and five criteria, which will guide the academic institutions on establishing Smart University. The three pillars are Technology Infrastructure, Educational Pedagogy, and Government Collaboration together with the five major criteria (Learning Environment, Educational Technology, Academic System, Governance, Health Services) and the application of a roadmap will support the success rate of Smart University in the Philippines. This leads to increasing the efficiency and responsiveness of the academic institution, holistic educational system, dynamic & safer academic community, and exceptional student experience.