Sirvi Märksõna "Automation" järgi

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Adopting DevOps Practices: A Case Study
(Tartu Ülikool, 2021) Ismayilova, Gunel; Scott, Ezequiel, juhendaja; Kapsi, Madis, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Nowadays, delivering on higher levels of customer satisfaction for online services is highly demanded from organisations. Furthermore, to continue supporting these services is part of the job. Delivering and supporting a higher level product from the idea to the end result requires a wide range and heavy amount of work. Time, efficiency, maintainability, security and many other factors are part of this process, i.e. the process of software development life-cycle. DevOps brings its own efficient and beneficial advantages to the field. It is a framework which integrates software development and IT operations. It is a combination of philosophies, practices and tools that can benefit an organisation to deliver applications and services at a high velocity. The goal of this thesis is to research DevOps practices and implement them in a real case scenario, in a project which serves customers. Moreover, this thesis is about tracking and measuring the results of these changes, then comparing them. The results show that DevOps, when used in a correct way, brings value to all stakeholders. Additionally, this thesis highlights the limitations when trying to adopt these practices.
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Development of Control Electronics and Program for Robotont's Height Adjustment Mechanism
(Tartu Ülikool, 2024) Volynets, Veronika-Marina; Raudmäe, Renno, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Tehnoloogiainstituut
In today's dynamic landscape, robotics, and automation have become indispensable across various sectors, from enhancing efficiency in manufacturing processes to improving patient care in healthcare, the impact of these technologies is profound. Robotics and automation have the potential to revolutionise various sectors by boosting productivity, ensuring precision, and enhancing safety. However, the full potential of these technologies remains underutilised due to significant barriers, particularly the shortage of a skilled workforce capable of operating and the lack of tools that can be used in robotic engineering and experimentation. To address these challenges, the control electronics for the scissor-lift mechanism made by fellow student Kertrud Geddily Küüt was built and programmed as a multifaceted educational and research tool with a practical use in various fields of work. Enabled by our programming, we equipped it with user-friendly controls that allow for precise platform control, facilitating immersive learning experiences and hands-on experimentation. As a core component of the Robotont open-source initiative, it serves as a catalyst for practical learning in robotics and automation. In summary, our work on the electronic controls and programming of existing scissor lift mechanism fills a crucial gap in robotics education, empowering students and professionals with the skills necessary to thrive in today's technology-driven world. By providing a user-friendly platform for practical experimentation, it not only enhances learning outcomes but also fosters collaboration and innovation within the robotics community.
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Experimental Setup to Measure the Rate of Oxygen Production from Cyanobacteria
(Tartu Ülikool, 2025) Kochiashvili, Elene; Islam, Quazi Saimoon, juhendaja; Kaasik, Laila, juhendaja; Pajusalu, Mihkel, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Bioinseneeria instituut
This thesis aims to design and build an experimental setup that includes a novel oxygen sensor developed at Tartu Observatory, algae, specifically Synechococcus, for photosynthesis. This work is motivated by the need to test the oxygen sensor for future implementation in the International Space Station as well as allowing for future calibration of the sensor. The developed experimental setup incorporates control mechanisms to support the growth of Synechococcus cyanobacteria and monitor the oxygen production. The implementation and methodology of devising the required setup is discussed, highlighted key challenges and discovered solutions towards a stable experiment. The results obtained validate the functionality of the oxygen sensor over a large time period of continuous monitoring, verifying its usability in the experimental setup and laying the foundations to the eventual goal of utilizing it for future calibration of the oxygen sensor.
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Improving the Sprint Review and Delivery Process by Enhancing the Monitoring System
(Tartu Ülikool, 2025) Soosalu, Karl; Pfahl, Dietmar Alfred Paul Kurt, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
This thesis focuses on the development and implementation of a tool aimed at automating sprint summaries for the Data Services and Reporting (DSR) department at Playtech Estonia. The primary goal of the tool is to provide real-time insights into sprint performance by analyzing story point estimation accuracy, time logged versus estimated hours, and task completion rates. By integrating with Jira, the tool automates data collection and analysis, eliminating the need for manual data extractions and enabling continuous feedback loops. The development process involved using Java, Spring Boot, and Vue.js, and testing was conducted to ensure functional correctness and usability in real-world conditions. The tool features a dynamic and user-friendly dashboard that supports better visualization of key metrics. The results demonstrated the tool's ability to track dynamic changes in sprint data and offer valuable insights contributing to improved sprint planning and retrospective analysis.
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Machine Learning Solutions for the Task of Pedestrian Trajectory Prediction – A Systematic Literature Review
(Tartu Ülikool, 2024) Garg, Ankit; Muhammad, Naveed, juhendaja; Zabolotnii, Dmytro, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
This study aims to provide an in-depth overview of existing methodologies, trends, and challenges in human trajectory prediction. It analyzes diverse literature to examine various approaches involved in machine learning techniques. This study categorizes these methodologies based on their foundational principles, delving into their strengths and limitations. Particular emphasis is placed on recent advances in machine learning mixed with psychological and environmental aspects for human trajectory prediction. This study finds three significant categories: cognitive approaches, pattern-based approaches, and probabilistic approaches. These are then further divided into different sub-categories, thus forming a taxonomy. Categories at each level of the hierarchical taxonomy are compared, with information about their pros, cons, and where each category should be used. Furthermore, the research papers studied during this survey were split into categories based on their methods. In conclusion, it was found that the “Behavioral Features Method” category performed the best among the other categories. Thus, more research should be done on combining machine learning methods with behavioral features.
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Securing Quality in the Software Development Process of Financial Systems
(Tartu Ülikool, 2025) Aliyev, Kamil; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The financial industry is exposed to different kinds of risk, such as operational and reputational. The financial systems should be reliable, performant, and audit-ready to minimize these risks. The way that these risks are addressed and requirements met is by ensuring the quality of these systems. In addition to the risks, the rapid evolution of financial systems adds complexity to maintaining software quality. This research aims to explore the question of how software quality is prioritized and implemented in such systems. Research utilizes systematic literature review and expert interview methods to explore the topic. The systematic literature review aimed to capture the academic contributions on quality aspects, metrics, and tools. On the other hand, the interview aimed to highlight how the quality is managed and maintained practically in the systems. Based on the results, a structured framework that can guide field practitioners and researchers was developed. The framework is developed in three dimensions, providing layered guidance on the quality aspects, how to measure them, and how to implement them in the different software lifecycle stages.