TONECOME: A Spaced Repetition Model with Tonal Features for Thai Vocabulary Learning
John Michael S. Tugay, Miyah D. Queliste

Efficient and effective communication is important along with the rapid developments in the society and various cross-cultural interactions. A major factor in communication is the speed of language acquisition. This study developed a spaced repetition model that uses tonal features to predict the user recall rate of a Thai word. Data used to develop the model was from an Android application used by participants for 14 days. The developed model was observed to have the best performance among previously implemented models, improving the performance of its base model by 22.7%.

Published on January 2023, Search Score: 0, [BibTeX]
Peanut Mold Detection Via Marker-based Watershed Segmentation and An Artificial Neural Network With Feedforward Backpropagation
Samuel Darwin D. Lagrosas, Lei Kristoffer R. Lactuan

Peanut seeds are susceptible to mold infestation such as Aspergillus, which causes the release of aflatoxins, a carcinogenic substance that can harm human and animal health. The aim of this study is to develop a method for detecting peanut mold using computer vision and artificial intelligence. To isolate the peanut seeds from acquired images for color and texture analysis, marker-based watershed segmentation was applied. RGB, HSV, and Grayscale color spaces are used to extract color features, whereas Gray Level Co-occurrence Matrix properties are used to extract texture features. Selected relevant features were fed into a feedforward backpropagation neural network, which generates values ranging from 0 to 1, with values closer to 1 indicating mold contamination and values near 0 indicating non-contamination. In detecting mold infestation in peanut seeds, the neural network produced an accuracy rate of 89.33%.

Published on September 2022, Search Score: 0, [BibTeX]
A Multiagent System Framework for Solving the Student Sectioning Problem
Joseph Anthony C. Hermocilla, Eliezer A. Albacea

Assignment of students to classes is an important task in a university registration or enrollment process and is considered as a subproblem of the more general university timetabling problem which is NP-complete. This study characterizes the assignment of students to classes as the Student Sectioning Problem and proposes a multiagent system framework for solving it. The framework is composed of three types of agents namely scheduler agent, enlister agent, and student agent. The scheduler agent is responsible for creating the initial solution using iterative algorithms augmented with a maximum bipartite matching solver. Student agents communicate with enlister agents to improve the initial solution by performing cancellation and enlistment operations. A prototype system was implemented on top of the JADE multiagent platform using UPLB registration data. In general, the multiagent system framework provides a decentralized and concurrent approach to solving the Student Sectioning Problem and offers a more realistic model for the student registration process.

Published on March 2008, Search Score: 0, [BibTeX]
Measuring Home Network Security using Aggregated Risk Oriented Modeling
Robie A. Carlos, Joseph Anthony C. Hermocilla

With the number of network vulnerabilities and exploits being discovered at a rate higher than ever before, it has become important to analyze even the simple home networks used by regular households. This study implements a desktop application called HomeRisQ which measures a home network’s security using Greenbone Vulnerability Scanner and a risk-oriented model. It shows the risk score of all the vulnerabilities found in all hosts discovered inside the network and presents a value between 0 to 100 (lower is better) to show the security state of the network. It all provides other basic information regarding each vulnerability to facilitate remediation.

Published on July 2022, Search Score: 0, [BibTeX]
Disk-O: Cloud File Storage System for Students’ Organization in University of the Philippines Los Banos
Carl Vincent V. Pua, Joseph Anthony C. Hermocilla

Students’ Organization in University of the Philippines Los Ba˜nos (UPLB) use Google Drive in managing and sharing files of their organization. However, there is a challenge when managing the files in the Shared with me due to its interface and what the students usually share. The sharing option is also limited to Restricted, Within the University of the Philippines, and Anyone which makes it hard if an organization wants to share a file within the organization only. Disk-O aims to solve this by making a new interface of Shared with me and implementing roles and its permissions. The average scores on Post-Study System Usability Questionnaire (PSSUQ) version 3 were 2.34 in System Usefulness, 2.29 in Information Quality, 2.16 in Interface Quality and 2.26 in Overall. All of the respondents agreed that the implementation of roles and its permissions is useful.

Published on July 2020, Search Score: 0, [BibTeX]
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