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- ItemPostcolonialism in Salman Rushdie's Haroun and the Sea of Stories(2022) Alynne May O. ContranoThis study aimed to analyze the novel of Salman Rushdie's Haroun and The Sea of Stories on how hybridity views Haroun's imagination in the sea of stories and how it affects children's literature. In determining the postcolonialism in the novel. The researcher was able to establish a study that brings awareness to those who want to write a children's book or tale. In conducting this research, the researcher used Postcolonial Theory to highlight hybridity in the novel. Generally the main objective of this study was to analyze Haroun's imagination in the sea of stories viewed as hybridity and its effect on children's literature. Specifically, this study aimed to answer the following: 1. Identify Haroun's imagination based on the story. 2. Determine the meaning of Haroun's imagination hybridity; 3. Discuss the effect of haroun's imagination as hybridity in children's literature. The researcher used Descriptive Qualitative analysis. The goal of qualitative descriptive studies is a comprehensive summarization, in everyday terms, of specific events experienced by individuals or groups of individuals. The focus of the study is on the hybridity of Salman Rushdie's Haroun and the Sea of Stories, and how postcolonialism affects children's literature. The researcher used a postcolonialism approach in analyzing and evaluating the story in order to highlight the hybridity. The study is designed in order to have a careful understanding of postcolonialism in Haroun and the Sea of stories and how it affects the children's literature.
- ItemENHANCING GOAT MILKING RECORD MANAGEMENT THROUGH METRICS GENERATION AND VISUAL ANALYTICS(2024-05-30) Dela Cruz, Ivan D.; Hernandez, Robert Austin B.; Sta. Ana, Harvey A.Milking records are essential in livestock management as they provide critical data on animal health, productivity, and overall farm profitability. This study developed an Enhanced Milking Record System designed to streamline data collection and analysis for improved farm operations. Integrated into an existing RFID-based infrastructure, the system uses RFID tags to identify individual goats and incorporates a web-based application for efficient data entry, record management, and interactive visualizations. Core features include yield summaries categorized by daily, monthly, and yearly outputs; AM/PM milking comparisons; unit conversions; and lactation tracking. The system’s enhancements address previous limitations by eliminating manual computation, expanding data visualization capabilities, and enabling real-time analysis. System testing and five client validation meetings with the Small Ruminant Center (SRC) confirmed that the solution aligned well with operational needs and workflows. As a result, the Enhanced Milking Record System significantly improved record-keeping accuracy, reduced human error, and transformed raw data into actionable insights. These improvements empower SRC staff to monitor production trends, detect anomalies, and make informed, data-driven decisions to enhance livestock productivity.
- ItemFLUIGUARD: SUSTAINABLE HYBRID CONTROL OF WATER AERATION SYSTEM FOR AQUAPONICS WITH REAL-TIME TILAPIA BEHAVIOR MONITORING(2024-05-30) Baniqued, Jay-ar O.; Lina, Joshua C.; Taguinod, Renz Jay L.The Philippines is known as a nation that excels in the sectors of agriculture and aquaculture. As time goes by, the country is gradually experiencing an increase in population growth, water scarcity, and even drastic land conversion. These are threats to the farmers, as it means that they need to produce more food for the people and utilize water and land resources to avoid any further shortage. There should be an alternative farming method to sustain food production and address the fast depletion of land and available water resources. With this, the idea of implementing aquaponics came up. However, 'smart’ technologies such as the Internet of Things (IoT) are not fully utilized in aquaponics. In this study, the aquaponics is composed of fish, and a particular crop. During this development, the lack of IoT utilization will be addressed since there will be an implementation of various sensors for monitoring systems, object detection, and automation. The different sensors are for monitoring the different water quality parameters; the object detection is for observing irregularities in the behavior of fish, such as gasping for air; and the automation is for the water aerator to automatically work once the camera detects that there is an alarming number of fish that are gasping for air, indicating that there is a lack of oxygen. There will also be a warning notification through push notification for this instance. This study proposes to have a hybrid control in the system for the user to freely control the water aerator, disregarding the data from the camera. The mobile-based application of this system will be created through Flutter, which will receive all the data from the sensors and display it to the user for monitoring purposes. The application will also generate graphs for visualization with all the gathered data.
- ItemAUTOMATED WATER QUALITY MANAGEMENT AND MONITORING FISHPOND AT ZH AQUAFARM, BRGY STO.TOMAS SAN JOSE CITY , NUEVA ECIJA(2024-06-03) Benitez, Jhonwarlie M.; Carbonel Jr, Carmelo A.; Gagabi, Jayson L.Aquaculture, the industry of fish farming, relies heavily on water quality as a critical factor in ensuring productivity and sustainability. With the global demand for fish steadily increasing, effective fish farming practices have become essential to meet this need. As a key component of the world’s food supply, aquaculture operations must prioritize water quality to maintain fish health and maximize yields. Recent advancements in Internet of Things (IoT) technologies have significantly impacted agriculture and are now being explored for their potential in aquaculture, particularly in water quality monitoring and control. At ZH Aquafarm, located in Brgy. Sto. Tomas, San Jose City, Nueva Ecija, the existing water quality monitoring system is based on manual inspection, requiring farmers to physically collect and assess water samples for variables such as pH, dissolved oxygen, water level, and temperature. This manual process is time-consuming, labor-intensive, and prone to human error. In this study, the water quality monitoring system at ZH Aquafarm was automated using IoT technology. The proposed system employs a suite of sensors to continuously measure key water parameters. Data collected from these sensors serves as the basis for automatically introducing fresh, higher-quality water into the pond when needed. Additionally, the integration of these sensors with mobile access allows farmers to remotely monitor water quality and make informed management decisions. This approach supports efficient, accurate, and convenient aquaculture management, demonstrating the value of automation and IoT in modern fish farming operations.
- ItemIoT-Based Automated Fish Feeder and Caller for CLSU College of Fisheries using Arduino and Blynk Application(2024-06-03) Corpus, John Dyniel T.; Ramos, Vincent A.; Riman, Karlo Keith B.Fishes necessitate careful attention concerning their food intake, feeding schedules, and environmental conditions, such as temperature fluctuations. To address these challenges and enhance fish care in the fish ponds of the CLSU College of Fisheries, this study proposes the development of an automated fish feeder and caller system. The main objective is to introduce automation into the process to reduce reliance on human efforts. This capstone project directly contributes to Sustainable Development Goal (SDG) 14 by aiming to enhance the sustainable management and conservation of aquatic resources, specifically within aquaculture. Through the creation of an automated fish feeder and caller system, the project seeks to implement innovative technologies that optimize feeding accuracy, reduce resource wastage, and mitigate environmental impact. By improving the efficiency and effectiveness of fish farming practices, the project supports responsible resource management, economic viability, and ecological balance in aquatic ecosystems. This initiative aligns with the global pursuit of SDG 14, which ensures the long-term sustainability and health of life below water. The proposed system encompasses a feeding and calling mechanism that can be conveniently programmed and remotely controlled via a mobile application, leveraging Internet of Things (IoT) technology. By harnessing this IoT-based automation, the fish feeder and caller can be tailored to adhere to precise feeding schedules or activated on demand. The system ensures that the fish congregate at the designated feeding area through a calling mechanism employing automatic bell ringing, which guarantees timely and adequate nourishment.