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Use of Artificial Intelligence in Human Resource Management

The integration of Artificial Intelligence into Human Resource Management processes presents an evolving domain of exploration and practical application. The widespread adoption of AI technologies presents the potential for significant transformations in products, innovation processes and business models. The research aim is to develop a framework for effective use of AI in Human Resource Management. The subject of the research is AI-based solutions in Human Resource Management. The object of the research is Human Resource Management processes in an enterprise.A multifaceted research approach was used to scrutinize the effective utilization of AI in HRM: Literature review, Case Studies, Employee Surveys, Interviews with HR experts.During this research, the author highlighted aspects of contemporary HRM that can be improved using AI technologies; made a list of the recommended practices for integrating AI-based solutions into HRM; developed a framework for AI tools implementation and found out that HR experts’ and employees’ overall perspective on AI within HRM appears optimistic.This research holds both theoretical and practical significance, driving advancements in theoretical knowledge, informing organizational practices, and shaping the future of work in the digital age.

Author: Ana Enache

Supervisor: Yulia Stukalina

Degree: Master

Year: 2024

Work Language: English

Study programme: Business and Management

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The use of a multi-fenestron tail rotor system on a helicopter to improve flight safety

Safety of helicopter tail rotor flights depends largely on the reliability of the tail rotor control system. Tail rotor damage and failure in many cases can lead to catastrophic consequences. Helicopters having a fenestron have certain advantages over helicopters having a conventional tail rotor in terms of safety and reliability, but failure of the fenestron can also lead to catastrophic consequences. In order to improve the safety and reliability of a helicopter that has a tail rotor to compensate the reactive torque of the main rotor, a multi-fenestron control system is proposed in this undergraduate work. Within the framework of this work, conceptual design of the helicopter with multi-fenestration system, which has features, and as a result, an algorithm for designing a helicopter with multi-fenestration system was developed. In this work, also evaluated the level of improvement of safety and reliability of the helicopter with a multi-fenestration system in comparison with the traditional scheme, calculations showed the provision of a high level of reliability for a sufficiently long operating period.

Author: Artjoms Gudkovs

Supervisor: Sergey Junusovs

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Aviation Engineering

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Drone manipulator optimization and integration in affordable quadcopter

This paper explores the development of a drone-attachable manipulator designed to perform construction and maintenance tasks, moving beyond the traditional use of UAVs for monitoring. Our primary objective is to design a manipulator capable of lifting objects weighing up to 300 grams, adhering to principles of low cost, ease of manufacturing, and high quality. We begin with a literature review of UAV types and their suitability for integration with manipulators. The design process involves creating multiple manipulator prototypes using Solidworks for simulations to gather data on performance and structural integrity.Static stress and displacement analyses are conducted to identify areas of high stress and potential deformation. Initial designs demonstrate that the static force required to hold a 300-gram object exceeds the capabilities of our prototypes. The final manipulator design is tested for its lifting capabilities and operational limitations. Re The study concludes with an evaluation of the design process, limitations, and potential for future applications of UAV-integrated manipulators in infrastructure construction and maintenance

Author: Arvis Maiželis

Supervisor: Adham Ahmed Awad Elsayed Elmenshawy

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Aviation Engineering

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Development of Trucking Services In Nigeria: Problems and Perspectives

This study delves into the current state of the Nigerian trucking services, aiming to improve efficiency and identify potential areas for growth. We employ a multi-pronged research approach utilizing both quantitative and qualitative data. First, a comprehensive literature review gathers existing knowledge. Second, secondary data analysis examines the current trucking landscape, including its connections with other transportation modes. Third, stakeholder interviews capture diverse perspectives from truck owners, drivers, manufacturers, and policymakers. Fourth, a public survey gauges public opinion and industry potential. Fifth, in-depth case studies compare and analyze three distinct trucking companies with unique business models with a SWOT analysis to evaluate each company considering their economic value contribution. Finally, the research utilizes a network model to optimize logistics and efficiency. Results are presented visually and discussed in detail. Recommendations for improvement are formulated based on the findings. The study concludes by acknowledging its strengths and limitations.

Author: Olusola Adepoju Ademola

Supervisor: Berdymyrat Ovezmyradov

Degree: Master

Year: 2024

Work Language: English

Research on Software Development Aspects Using node.js Technology

To explore the aspects of software development, an application was created using Node.js and NestJS to build a REST API. This API integrates Google Natural Language AI to analyze submitted user reviews. The application includes multiple REST API endpoints that can process, analyze, and aggregate user review data. Performance measurements were conducted, analyzing event loop latency, memory and CPU usage, and other key metrics. MongoDB was used for data storage. The work also includes API and its performance evaluation. The system was tested to ensure it meets the set criteria and provides practical application.

Author: Valērijs Sergejevs

Supervisor: Mihails Savrasovs

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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