https://etalpykla.vilniustech.lt/handle/123456789/159400 2026-04-11T21:41:36Z 2026-04-11T21:41:36Z Kazanavičius, Justas Mažeika, Dalius https://etalpykla.vilniustech.lt/handle/123456789/159625 2025-12-30T11:54:04Z 2023-01-01T00:00:00Z

An Approach to Migrate from Legacy Monolithic Application into Microservice Architecture Kazanavičius, Justas; Mažeika, Dalius Microservice architecture is becoming the de facto industry standard for building new enterprise applications. In order to remain competitive, companies have started to modernize their legacy monolithic systems by decomposing them into microservices. However, extracting microservices from legacy monolithic software is extremely complex task, which consists of many different issues such as microservices identification, code decomposition, communication establishment between decomposed microservices, independent deployment, data storage adaptation and etc. Although the topic of monolithic software migration into microservice architecture has already been explored by scientists and software engineers, it is a complex and relatively new research topic. The primary focus of most investigations is the microservice identification within monolith application as well as source code decomposition into microservices. A novel approach to migrate legacy monolithic applications into microservices is proposed in this paper. It includes not only code decomposition stage, but also covers communication establishment between microservices and data management.

2023-01-01T00:00:00Z Lopez, Laurence Magbanua, Mary Joyce Manalang, Lara Micaella Enclona, Eliza Dimalanta, Mark Angelo Mordeno, Duane https://etalpykla.vilniustech.lt/handle/123456789/159623 2025-12-30T11:29:15Z 2023-01-01T00:00:00Z

Design of Water Quality Control System for Commercial Tilapia Pond Lopez, Laurence; Magbanua, Mary Joyce; Manalang, Lara Micaella; Enclona, Eliza; Dimalanta, Mark Angelo; Mordeno, Duane Developing water quality control systems is crucial for successful aquaculture, as poor water quality can decrease fish health and yield. This is especially important for countries, like the Philippines, that heavily rely on aquaculture. A controller for a water quality control system includes battery, camera, aerator, heater, and dispensers that are attached to the prototype. The parameters will be measured through image processing with real-time monitoring of the camera. It will measure the dissolved oxygen, temperature, pH level, and turbidity. The input will be gathered by the camera that will be processed by image processing Virtual Instrument on LabVIEW to set the gathered images with its value from the gathered data from sensors of each parameter. When the parameters are not at their optimal levels, the prototype will automatically activate its treatment system which are dispensers for agricultural lime and aluminum sulfate, heater, and aerator. The system will be accessible through a mobile application for user interface. A cost-efficient and reliable water quality control system for tilapia pond was designed, which can monitor and treat water quality parameters. Having an effective system is crucial for the sustainability and profitability of fish farming businesses.

2023-01-01T00:00:00Z Rinkevičienė, Roma Mitkienė, Bronė Udris, Dainius https://etalpykla.vilniustech.lt/handle/123456789/159621 2025-12-30T10:50:53Z 2023-01-01T00:00:00Z

Modelling and Comparison PID Fuzzy Controllers for Six-phase Drive Rinkevičienė, Roma; Mitkienė, Bronė; Udris, Dainius The paper presents a MATLAB Simulink model of a symmetrical six-phase drive controlled by the six-phase frequency converter with PID fuzzy controllers. Six-phase motor model is elaborated in a rotating d−q reference frame. Two types of fuzzy controllers based on 25 and 49 linguistic rules together with the control system are modelled and simulation results are compared. Both elaborated systems distinguish with high-quality speed response specifications and indicate the robustness of the modelled system to disturbance and great accuracy following the reference input.

2023-01-01T00:00:00Z Viodor, Ariel Christian C. Aliac, Chris Jordan G. Santos-Feliscuzo, Larmie T. https://etalpykla.vilniustech.lt/handle/123456789/159619 2025-12-30T08:24:13Z 2023-01-01T00:00:00Z

Identifying Mangrove Species using Deep Learning Model and Recording for Diversity Analysis: A Mobile Approach Viodor, Ariel Christian C.; Aliac, Chris Jordan G.; Santos-Feliscuzo, Larmie T. Mangrove forests are essential to the coastal ecosystem and provide numerous ecological and economic benefits. Accurate identification and monitoring of mangrove species are crucial for their conservation and management. However, traditional species identification and documentation methods are often time-consuming, labor-intensive, and require taxonomic expertise. The preservation of mangroves relies heavily on the ability to identify different species and monitor their diversity. This research paper proposes a mobile application for mangrove species identification using MobileNetV3, a deep-learning model and recording for diversity analysis. We collected a dataset of 5,000 images of five mangrove species commonly found in Clarin, Bohol, and trained a deep-learning model using transfer learning. The model MobileNetV3Large achieved an accuracy of 98.4% on a test set of images, indicating that it effectively identifies mangrove species. The trained model was integrated into a mobile application that can capture and identify mangrove leaves using a smartphone camera. The application's user-friendly interface, real-time data recording, and cloud-based architecture make it suitable for large-scale biodiversity monitoring and management, enabling faster and more efficient data collection and analysis.

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