Scopus ID: 85123825959
2021 1st Conference on Online Teaching for Mobile Education (OT4ME), (2021), pp. 15-20
Conference Paper | Published: January 1, 2021
Abstract
Personal financial management is undeniably a worthwhile practice to establish a financial security during a struggling economy and make intelligent monetary decisions regardless of the plethora of spending temptations. Monitoring personal cash flow is part of achieving financial independence, and it is now undemanding to perform because of the available personal budget apps and finance tools. Nevertheless, a missing feature of these technology-driven innovations is the recording, tracking, and monitoring of receipts as well as the generation of personal expenses reports based on these collected pieces of papers. With this application, “Mobile Bookkeeper”, financial enthusiasts can just scan the receipt using the inbuilt camera of any smartphone and details will be automatically transcribed using Optical Character Recognition (OCR). To measure the satisfaction and test the usability of the mobile app, subjective and objective measures via ISO 25062 and ISO 9241 standards were collected, and QUIS 7.0 questionnaire, respectively. The testing results established Mobile Bookkeeper particularly on its receipt scanner feature as a needed mobile finance app. Together with this acceptance is the report highlighting issues and challenges in developing such mobile application especially with OCR integration and its accuracy in text recognition.
Scopus ID: 85123845522
2021 1st Conference on Online Teaching for Mobile Education (OT4ME), (2021), pp. 103-107
Manuel B. Garcia
& Ryan Michael F. OducadoConference Paper | Published: January 1, 2021
Abstract
With the significant adverse impact of a pandemic like coronavirus disease 2019 (COVID-19) towards the teaching and learning experience, numerous educational institutions are looking for ways to improve their current practices and meet the challenges of this global threat. Despite the recommendations of applying Information and Communications Technologies (ICT) like video games to alleviate the negative effects of the pandemic, it is still not clear whether nursing teachers are willing to use it. Consequently, this study explored nursing teachers’ behavioral intention to employ mobile game-based learning (MGBL), and its relationship amongst core factors of the Theory of Planned Behavior (i.e., perceived behavioral control, subjective norms, and, attitude). Descriptive statistics revealed that most of the nursing teachers were female, a master’s degree holder, with an academic rank of instructor, not a licensed professional teacher, and a permanent and full-time employee at private institutions in the Visayas region of the Philippines. Moreover, they do not play mobile games and do not have an experience when it comes to MGBL. Lastly, Spearman’s correlation analysis revealed that Theory of Planned Behavior factors correlated positively with the intention of nursing teachers to use MGBL. This descriptive-exploratory study serves as a preliminary exploration of MGBL in nursing education and a future study will cover the prediction of nursing teachers’ intention to use MGBL in the classroom.
Scopus ID: 85123835674
2021 1st Conference on Online Teaching for Mobile Education (OT4ME), (2021), pp. 68-72
Abdulsalam Salihu Mustafa &
Manuel B. Garcia
Manuel B. Garcia
Conference Paper | Published: January 1, 2021
Abstract
Since its inception, Technology Acceptance Model (TAM) has been a commonly adopted theory for understanding users’ acceptance of various types of information systems (e.g., online learning systems). Over the years, different information systems theories have been integrated into TAM to further the understanding of users’ intention to accept online learning. To examine the literature, four databases were utilized to discover research articles examining the online learning acceptance and continuance intention of users (e.g., students and teachers). The findings of the systematic review revealed that Task Technology Fit and Theory of Planned Behavior are the most integrated and educationally successful theories into TAM. Meanwhile, course information, satisfaction, perceived usefulness, attitude, system quality, perceived ease of use, and academic performance are the essential drivers for the acceptance or continuance usage of online learning systems. These findings serve as an evidence and reference for educational institutions in developing policies and strategies for the implementation of an online education.
Scopus ID: 85121327537
Proceedings of the 9th International Conference on Computer and Communications Management, (2021), pp. 46-51
Conference Paper | Published: January 1, 2021
Abstract
Assistive technologies gained traction in the medical field over the last few decades. Novel approaches have been developed in order to support people with disability to communicate effectively. However, little research has been conducted on the other side of the coin, that is, assistive technologies to help people who do not have a disability to understand and comprehend the language of disabled. This study describes the early development of a hand alphabet recognition that intends to accomplish a functioning dactylology conversion from sign language to English print in a live streaming video. Through a video analysis, each frame is processed using a segmentation technique to partition it into different segments (e.g., pixels of hand gesture). The dactylology conversion algorithm was implemented in a mobile application where users can watch video containing an on-screen sign language interpreter and understand fingerspelling used as a communication by hearing- and speech-impaired people. Through the sample dataset of 13 videos of American Sign Language manually collected (N=10) and recorded (N=3), the application was tested for its accuracy in detecting the alphabet in a video (94.16%), and the correctness of conversion of the detected alphabet into English print (89.65%). This study contributes to the list of existing novel approaches that aims to promote social positive effects as well as improve the quality of life for both disabled and all the people they socialize with.
Scopus ID: 85127599472
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
Blindness is an impairment in which the patient requires constant assistance with even the most basic of everyday tasks particularly in travelling alone without occurring accident. The project was designed to improve the level of independence of a visually impaired individual in travelling, utilizing the Smart Stick for the Visually Impaired Person will help them travel in flat and rugged terrain with high level of confidence as not to have accidents or injuries. The smart stick provides an obstacle detector and a speech synthesizer mechanism to guide the individual to certain obstacle and a change in the terrain elevation, it also helps the individual to locate the smart stick easily if they accidentally dropped or misplaced it, the device will create a sound through the buzz module. The following modules were also included; Obstacle detection, Terrain detection, Hand detection, Speech Synthesizer, and Sound module, all of which are connected to the Arduino Nano microcontroller. The prototype was tested considering all modules as mentioned above, having a 95 to 100 percent success rate for 20 testing trials in every module of the system. The study had presented an alternative way for the visually impaired individual to travel safely. The researcher recommended for future enhancement of the device to be paired with smart phones or an application based-GPS for tracking and monitoring.
Scopus ID: 85127593238
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
Complete Blood Count is one of the most commonly performed medical laboratory procedure today. It is required to detect various types of diseases. Presently, some small-scale clinics in the country still does the tedious, manual method of counting the blood cell. With Complete Blood Count Analysis System through Image Processing, automated CBC can be performed by mounting the smart phone camera on the viewer of the microscope. The input image will go through several image processing algorithms such as: Binary Thresholding, Clustering, and Hough Circle Technique. The result will be computed through the formulas used in the manual method of the CBC process. Experimental results show the developed system gains 94% of accuracy for counting the Hematocrit, Hemoglobin, Red Blood Cell, and White Blood Cell values.
Scopus ID: 85127569499
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
One of the most crucial parts of online learning is online testing. It is advantageous to users to save material resources while conducting an effective, quick, and secure inspection. The researchers created and built a web-based assessment system. This article discusses the system’s primary operations, objectives, and principles, as well as auto-generating test papers and questionnaires utilizing algorithmic analyses and presenting the system’s security.
Scopus ID: 85127570116
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
Some, if not all, veterinary clinics do not have a record of skin diseases of dogs when they diagnosed them; this is due to lack of manpower over the number of different kinds of animal patient that they cater per day. This also causes some delays in diagnosing other non-visually diseases that other patients might have. Having a system that can be used in pre-examination for visually available infections such as dog’s skin disease and automatically records this diagnosis, can give an advantage to veterinary clinics. This helps the clinics prepare for the kind of patients that they will tend in certain time of the year. Developing a system that can be used in identifying common dog skin diseases for the pre-examination purpose and creating a dashboard that generates a numerical result can be used as an advantage for the veterinary clinics. These can be achieved by using image processing techniques for the prediction model and Convolutional Neural Network (CNN). However, using a common CNN approach, where the main core uses the Central Processing Unit (CPU), tends to train the model longer. To overcome this problem, the use Graphics Processing Unit (GPU) is implemented to enhance the speed of training the model for the system. Having this kind of system really helps the veterinary clinic for their daily work, but this can still be improved by using other approaches to the trained model without ignoring the efficiency and accuracy of the algorithm that is being used.
Scopus ID: 85127555156
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
Shrimp species belong to the class of Crustacea under order Decapoda under suborder Natantia. The shrimp species are characterized with semi-transparent body which grow up to more than 20 cm. In terms of economic impact, the shrimp industry is considered highly profitable based on the studies by WorldAtlas and Philippine Statistics Authority. Therefore, as part of the necessary better management principles (BMPs), shrimp growth should be monitored. However, for the shrimp length is typically measured by a manual tool like rulers or calipers which is known to be a tedious process most especially when large number of samples are considered. Hence, in this study, image processing via OpenCV was utilized to estimate the length of shrimp species. The performance of the image-based approach is compared with the manual measurement and yielded a relative percent error of 6.23%. Based on the results, it can be concluded that the image-based approach can be utilized to determine the shrimp length.
Scopus ID: 85127599872
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 research aims to determine the demographics that affect the solid waste management behavior in San Martin Subdivision in Angono, Rizal, conducted during the time of pandemic. This aims to improve sustainability and help create programs that will improve the participation of the households towards positive waste management. Currently, there are limited studies involving waste management, especially in developing countries like the Philippines, where waste management problems are more prevalent, adding more solid wastes during the pandemic period. This will help developing countries improve their waste management system as it will open areas for research and development. The researchers seek through the study of the demographics that affects the attitude, knowledge, and practices of the households to create a more targeted solution for the area. Online questionnaires were distributed to the respondents and were analyzed using the Kruskal-Wallis test. The findings revealed the relevant demographics in the target area and created a conceptual framework that the administrators can adopt. For the knowledge, attitude, and practice of the households, the income of the family showed significance. The other significant demographics were the household size for the attitude section; educational attainment for the knowledge section; and all the demographics for the practice section. Knowing this relevance, the community can create policies that are catered more to the effective group equating to greater chance of success in the implementation. The significance of the study is that the household wastes comprise of more than half of the waste generation of the Philippines hence, targeting this sector of the society will greatly impact the solid waste problem in the country.