Scopus ID: 85127565706
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
Knowledge in Braille is ultimately necessary to maintain learning for the visually impaired. In the Philippines, class attendance has been showing low rates for visually impaired students caused by the shortages of teachers and the absence of the specialized tools intended for teaching them. A proposed solution in addressing this problem is the usage of computers for the automation in the process of the extraction of information in Braille which can facilitate teaching. In recent years, a considerable amount of effort and attention have been devoted to the development of this kind of technology however in languages other than Filipino Braille. Codes in Filipino Braille with its contractions, and even the Filipino language itself has unique features as compared with other languages. In this paper, a system is proposed which uses machine vision in recognizing Filipino Braille codes including one-cell and two-cell contractions. Synthetic Braille images undergo cascade object detection, image processing, extraction of HOG features to develop the three-stage multiclass SVM classifier. Experimental evaluation results reveal a good performance of Filipino Braille classification and translation to texts.
Scopus ID: 85127571860
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
Air pollution is the atmospheric condition in which substances are present in the air in such concentrations and duration that are detrimental to human health and the environment. The effects of air pollution on public health are being felt worldwide. These are the common air pollutants, including lead, nitrogen oxide, Sulphur dioxide, carbon monoxide, and Total Suspended Particulates (TSP), the latter being the most widespread and the most serious for human health. This study presents a GIS-based mapping as a means for generating high-resolution maps over large geographic areas. A wide range of data collected from different air monitoring stations in the Metro Manila, Philippines, can be managed in the frame of spatial models developed in GIS. The approach of this study is demonstrated by modeling concentrations of Total Suspended Particles for Metro Manila. Mapping of the air pollution using the GIS for seven different stations during the dry and wet seasons from 2016 up to 2020 was developed. The concentration of TSP for the dry and wet seasons were visualized in planar view. The visualized result generated by the GIS has the potential to offer valuable information in demonstrating the air quality index of Metro Manila over the span of 5 years. The results showed that during the wet seasons, the air quality became good. On the other hand, the dry seasons showed the air quality being consistently moderate and, in some parts, changing from being good to moderate. Generally, we can conclude that the public can still enjoy and experience usual activities outdoors, although the results may seem to be at no risk, it is best to be mindful of the current conditions, especially in the present-day, climate change is getting worse.
Scopus ID: 85127555504
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021)
Conference Paper | Published: January 1, 2021
Abstract
In a worldwide perspective of the most common cancer diseases, cervical cancer is ranked fourth most frequent whereas the worldwide mortality rate is at 54.56%. In the Philippines, the second leading site among women is cervical cancer next to breast cancer. Research shows that cervical cancer is one of the most treatable cancer forms if detected and managed early. Currently, the most reliable diagnosis and prevention method of cervical cancer is thru a regular testing via Pap Smear test and HPV vaccination being performed in hospitals worldwide. However, according to the Centers for Disease Control and Prevention in California, the cervical cancer screening rate of regular testing in hospitals went down significantly during the stay-at-home order by the government due to the COVID-19 pandemic. Also, there are limited research based on the behavior information in relation to cervical cancer risk prediction, but existing studies proves the possibility of the risk prediction based on behavior information. This paper presents an Artificial Neural Network-based model for early cervical cancer risk detection based on behavior information. The neural network was trained using scaled conjugate gradient back propagation. The system showed 98% overall correctness in early cervical cancer risk prediction.
Scopus ID: 85127613733
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2021), pp. 1-6
Mark Justine I. Balbenta, Anton Dominic P. Capistrano, ... Melvin B. Solomon
Conference Paper | Published: January 1, 2021
Abstract
Flood is a natural disaster mostly caused by typhoons that deal with health, property, and economic damages to areas affected by the inundation, especially on low lying areas such as Marikina, like in the times of typhoon Ondoy and typhoon Ullyses. This study aims to develop an accurate flood hazard map with the use of interval rough numbers to improve the urban management and flood response of the local government. The methodology considered elevation, Slope, distance from water surfaces, drainage density, land use/land cover, and soil profile as factors that would be relevant to the flooding of Marikina city. Online surveys were distributed to different experts under the scene of urban planning, hydrology, environmental protection, water supply and sanitation, and transportation to rate each individual factor’s importance with regards to the other factors by using the Saaty rating scale. Interval rough numbers, fuzzy, and crisp AHP were applied to the matrices of the experts’ rating of the factors and integrated with the generated flood hazard map. The generation of flood hazard maps was done with ArcGIS by utilizing different spatial maps gathered from online sites. After integrating the different MCDA techniques, a comparison was done to identify the most accurate on all the techniques and validation was done through utilizing historical flood data of Marikina City. After the application of the different MCDA techniques to the produced flood hazard map and validation by utilizing flood points of Marikina, the Rough Interval AHP proved to be the most consistent out of the two methods with an accuracy of 95.82%, 90.23%, and 80.72%, respectively. The results showed that from the total area of Marikina City, 33.16% out of it is under the classification of “very high” hazard, 24.42% is under the “high” hazard category, 17.67% is under the “moderate” hazard, 13.20% is under the “low” hazard, and 11.55% is under the “very low” hazard.
Scopus ID: 85114197025
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021)
Conference Paper | Published: January 1, 2021
Abstract
Environmental awareness enables us to take measures in protecting and maintaining the environment. Moreover, video games are available everywhere as a means to not only entertain, but also to develop one’s skills. They may be used as a teaching tool while still being fun to play to instill healthy habits, especially when it comes to the environment. This paper presents the development of EcoAction – a tap and drag 2D Android game that promotes environmentalism. We describe the game design of EcoAction and provide a validated questionnaire for assessing the aesthetics and gameplay. Results demonstrate that the received positive responses for its well-designed gameplay and appealing visuals. Therefore, videogames like EcoAction can be used as an awareness platform to encourage players to adopt environmental practices.
Scopus ID: 85114200444
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021)
Conference Paper | Published: January 1, 2021
Abstract
Agriculture has a big contribution in the life of most of the residents of Isabela having rice as the main crop. Having a large farm cannot be easily harvested manually so using a harvester machine helps the farmers get the rice and sell immediately without hustle. Through this, researchers aim to provide an easier and more comfortable way of purchasing harvester parts to the consumers without going on the physical store. This online ordering with recommender system displays the products and suggest relevant items to consumers. The integration of augmented reality in the physical brochure shows the 3D animations and descriptions of the 10 major parts of the machine which gives the consumers the knowledge about a certain part before it will be used in farm operations. In summary, the developed system is aimed at giving agricultural marketing information to all the farm owners in Isabela as well as to help increase the sales of the company.
Scopus ID: 85114207470
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021)
Conference Paper | Published: January 1, 2021
Abstract
Cities Talking is a crowdsourcing system where users can check-in in local stores (restaurants, food stalls, merchandise stores) located in the Philippines using the geolocation of their device as well as leave comments, stories, and even guides that will be processed under Lexicon Based approach of Sentiment Analysis to determine the polarity (Positive or Negative) rating of the particular location. The system will also have a leaderboard system where users can collect points and badges by checking-in on different places and be ranked up against their friends and other users. The system will also offer a recommendation system to the user where the application suggests near local restaurants, malls, or restrooms, to name a few, based on their proximity and the rating of the place. Since the main essence of the system is crowd sourcing, users can also share the safety level they feel while they are on their pin-location. Their friends can also see the score they inputted as well as the average score of the area based on the total score of all users who checked-in there. To test the effectiveness of the software, the proponents conducted a survey to I.T. specialists; using FURPS model, the result showed a weighted mean of 4.90 which corresponds to excellent.
Scopus ID: 85114212423
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021)
Conference Paper | Published: January 1, 2021
Abstract
In the video game industry, games are purposely developed and designed for entertainment, but with the innovative technology we have right now, various video games have been created that are not just for entertainment. Nowadays there are video games for education, medical rehabilitation, awareness campaigns, and applications that target a specific type of illness or impairment or simply to enhance the way of life. To motivate people with these predicaments, gaming has been modified to offer not only entertainment but also a way to help others. The proposed game entitled Beast Chasers — an Action Role Playing Game (ARPG) for PC Platform will make use of symbolism and deep storyline as an instrument to deliver societal issue awareness. The proponents used the Analysis of Variance (ANOVA) to figure out which age group, gender, or economic level will be most interested in the game as the project's target audience. The proponents used Convenience Sampling because it is considerably faster and easier to get findings. To assess the game impact, a questionnaire based on the Likert Scale was given to 30 people and it is used to measure opinions or perceptions about the game and it can also identify where the areas of the game can improve. The results of the game evaluation received a total of 5.54 mean implying that the game was quite satisfying and that the sample was enthusiastic about the game. Therefore, Beast Chasers has promoted and raised an awareness about the Societal Issues that the world is dealing with also making it into a form of ARPG Video Game.
Scopus ID: 85114197912
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021), pp. 213-223
Conference Paper | Published: January 1, 2021
Abstract
With the fast-paced growth of technology in our generation today, a lot of different applications has been developed in order to make people's lives more convenient and comfortable. However, due to the people's attachment to these technology, they have grown more and more sensitive with what they read from the internet (especially social media) — this in return takes toll on their mental health capabilities and provides problems for them and their families. This study aims to promote the presence of a mental health issue that has been frequently discussed by a lot of people through the years — this disorder is known to be depression. The researchers’ aim in this study is to develop a game that can aid people in understanding how depression affects the character through the said game's story — and help alleviate some possible factors that saddens or disrupts the player's mind from the gameplay and music. One of the main elements from this study is that interviews from psychologists, psychiatrists, and guidance counselors would be conducted and analyzed in order to know the possible problems that the target audience of the project may or may not face in their own lives — the researchers would then conduct a survey accompanied with the Patient Health Questionnaire (PHQ-8) in order to test the game's effectiveness and enjoyment. Based from the overall results of the study, the researchers were able to analyze the gathered PHQ-8 survey and has successfully rejected their null hypothesis — which means that the project has an effect on decreasing the severity of depression of the players. Overall, the researchers were able to satisfy their objectives which makes the project a step closer in developing an application that can be positively used for both entertainment and depression awareness in the future.
Scopus ID: 85114200196
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021), pp. 255-264
Conference Paper | Published: January 1, 2021
Abstract
In the Philippines, there is still a barrier language between the deaf and hard of hearing and abled communities. This could be attributed to how time and resource-consuming it is to learn FSL. This study aims to develop an FSL emergency sign detection in hopes to diminish the prejudice against dhh and the barrier that prevent them from being entirely accepted by non-dhh. To test the hypothesis of how fast hand detection works in emergencies using mobile, YOLO v4 tiny was used as the main algorithm for FSL detection for selected phrases often used in emergencies backed by an online survey for its usefulness. The results yielded an average accuracy of 85% in detecting the hand signs in different background environments with ample lightning and that using the mobile application to detect emergency hand signs is fast and accurate enough when in different backgrounds.