Journal of Engineering and Emerging Technologies

Concealed Automated Trash Bin with Shredder for Solid Wastes

Mon, 02 May 2022 00:00:00 +0800

The common difficulty in populated developing countries like the Philippines is inappropriate waste management practices. The improper use of waste bins and waste segregation are some of those. One of the major causes is the irresponsibility of the people. As expected, the consequences are environmental and health risks experienced by people. The countermeasure to minimize these risks is the solution proposed by people, particularly the development of an automated segregation system. The waste bins are designed to be concealed to conserve space, slow down the decomposition rate and reduce the foul odor of waste. The design is fully automated to minimize direct contact with the waste. The classifying section is capable of collecting and segregating waste using a gripper, servo motors, ultrasonic, capacitive, and photoelectric sensors. To conserve power, the segregated waste is held in a storage bin prior to shredding. Shredded waste is routed to their respective transport bins for collection after shredding.The ultrasonic sensors provide data about the capacity of the transport bins and allow the GSM module to send an SMS informing the concerned authority regarding the bins’ status. These messages facilitate easier waste collection. Two tests were conducted to determine the performance of the prototype: response-time and garbage level detection tests. The result shows that the prototype performed well and can successfully achieve the desired function. It took 23.745 and 2.711 seconds to collect and segregate the waste, respectively. Likewise, the monitoring system successfully expedited the checking of the waste bins. However, it is recommended to include quality of output and SMS delay tests. These tests can improve the overall performance of the prototype.

Edge Detection Techniques for Rice Grain Quality Analysis using Image Processing Techniques

Myrtel Bernardo — Wed, 04 May 2022 00:00:00 +0800

In agricultural countries like the Philippines, rice grain is considered the most important crop in the world for human consumption as daily food and in the food market, thus quality control must be considered. Rice grain quality evaluation is done manually, which is non-reliable, time-consuming and costly. The quality of rice grain is categorized by the combination of physical and chemical characteristics. Grain appearance, color, size and shape, chalkiness, whiteness, degree of milling, bulk density, foreign matter content, and moisture content are some physical characteristics, while amylose content of the endosperm, gelatinization temperature of the endosperm starch, and Na content are chemical characteristics. This paper presents a solution for the grading and evaluation of rice grains on the basis of grain size and shape using Scilab Image Video Progressing (SIVP) techniques. Specifically, an edge detection algorithm is used to find out the region of the boundaries of each grain. This method requires a minimum of time and is more affordable. Edge detection is vital for its reliability and security, as well as for providing a better understanding of automatic identification in computer vision applications. This study determines the best techniques among the edge detection algorithms.

Visualization and Geo-Mapping of Philippine Fire Incidents

Joseph Jessie S. Oñate — Thu, 12 May 2022 00:00:00 +0800

A fire incident is one of the most catastrophic calamity bringing injuries, loss of properties, and casualties. In the Philippines, a rapid increase in fire incidents was recorded from 2013 to 2016. In this paper, we explore the importance of data visualization and analysis in extracting useful information that might help in planning and decision-making. This study used the 2012–2016 Philippine Nationwide Fire Incident Statistics data provided by the Bureau of Fire Protection through Open Data Philippines. Data cleaning and reprocessing were conducted to develop a dynamic system known as FireStatPH using Flask. Different data visualization techniques such as choropleth map were also used in the study to represent each dataset. FireStatPH can easily identify the cities and municipalities with high fire incidents, injuries, deaths, and damages. It also provides fast statistics based on fire incident data. The system contributes to the planning and decision-making process in eschewing fire incidents in the Philippines.