The Academic Resources Recommender System (ARReS) includes collection of Theses and Dissertations available in the Camarines Sur Polytechnic Colleges Library.
An accident at one spot may occur more frequently than at other locations on the same road due to the irrepressible road or environmental circumstances; these locations are called accident-prone areas. With these, the study was conducted to develop a system that will optimize accidental prone area and path planning using a prim’s algorithm in Nabua, Camarines Sur. Generally, the study collected the accidents in the municipality of Nabua and applied the prim’s algorithm to develop a path model that optimizes accident-prone areas for path planning and provides insights into the safest path in the municipality of Nabua. The study utilized quantitative research and method to develop the system. The collected data from the Municipal Disaster Risk Reduction and Management Office (MDRRMO) contains the recorded accidents in the last five years in Nabua, and the recorded accidents were analyzed using frequency percentages. Every barangay to barangay path found has an accident rate, the accident rate to be identified as an accident-prone area/path is 2.5 above, and 2.5 and below identified as a safe path. Further, the system of the study provides an insight into the whole map of Nabua and determines and views the accident-prone areas or directions on the map of Nabua, it also finds the shortest path and safest path. Therefore, it is reasonable to implement and utilize the system that optimizes accidental prone areas for path planning using a proposed prim’s algorithm.
Joel T. Pillonar, Jr; July R. Lleno; Ericca L. Gonzales; Joan I. Resare
2022 Computer ScienceNowadays, learning about a location’s accessibility is very crucial for everyone, especially those who intend to travel, transport goods, and open or expand their business. Hence, road accessibility opens up new market possibilities. Thus, this study, "Road Accessibility Using Satellite Image Segmen...
John Paul O. Albao; Ysidore Nick Botor; Jieneth A. Ituralde; Mark Josef Gastilo
2022 Computer ScienceDue to its geographic location, the Philippines is a flood-prone country. According to the Asian Disaster Reduction Center, the Philippines is one of the most flood-prone countries in the world. With limited resources and a major portion of the population living below the poverty line, flood impacts...
Janden A. Albalate; Allen C. Aquilino; Carl Ray F. Marpuri; John Peter Librando
2022 Information TechnologyFor the past few years, the population has been quickly increasing. This implies that the freshly born baby's personal information will be documented in great detail. The researchers used this information to create a system that aims to give better services to users. Give an efficient and effective...
Noli B. Fornoles; Ernesto S. Fenis Jr; Michael N. Brigala; May Ann N. Deniña
2022 Information TechnologyThe existence of Corona Virus Disease 2019 in society brings a threat to the economy, livelihood, and most especially to the health of everyone. Due to the physical transaction, the implementation of contact tracing is an effective control strategy for controlling disease transmission since this str...