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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

Improvement of Logistics Sector in Uzbekistan Through Integration of Smart Technologies

The primary aim of this research paper is to comprehensively evaluate the integration of smart technologies in Uzbekistan's logistics sector. For achieving the research aim the author used a mixed method combining both qualitative and quantitative. As for the primary data, the author of the research used a survey among professionals in logistics and potential users to understand their awareness, perceived benefits, and concerns regarding smart technology integration in Uzbekistan. At the end of the research based on the results the author provides conclusions and recommendations on the integration of smart technologies in Uzbekistan's logistics sector

Author: Otabek Usmanov

Supervisor: Berdymyrat Ovezmyradov

Degree: Master

Year: 2024

Work Language: English

Development of Project Management Assistance Software Enhanced with Generative AI Technologies.

This thesis explores the practical value of applying Generative Artificial Intelligence in project management software to enhance a manager's work. The aim is to evaluate the efficiency and impact of GenAI on project management processes. The research begins with a review of existing academic and industry literature on integrating AI in project management. This is followed by detailed case study analyses of instances where AI has been integrated into project management tools. The Software Development Life Cycle methodology is used to develop and test the software, incorporating a prototyping phase to explore and validate concepts before full-scale development.The results of this study include creating a GenAI-powered software that significantly speeds up the staff selection process for projects by matching project requirements with personnel skills. The findings indicate that the developed software effectively leverages GenAI technologies to enhance the project management process, simplify managerial tasks and contribute to more efficient and accurate decision-making processes. This research highlights the potential of GenAI to transform project management practices and drive future innovations.

Author: Pāvels Kulajevs

Supervisor: Aleksejs Vesjolijs

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Web service development for the enterprise

The aim of the work is to develop a website for a car service in accordance with the functional and non-functional requirements of a company that previously did not have a personal website. This website should help the company attract new customers, as well as retain existing ones, thanks to a more detailed description of all services provided and a pleasant interface. One of the main goals of this work is: to examine and compare an internet site that was developed using the classical method and a website whose code was written using artificial intelligence, and to provide an assessment of certain results.To find out which features are useful and what customers really want to see on the site, a survey of potential customers was conducted.Analyzing the subject areas, web pages with similar functionality were analyzed and identified, as well as the initial requirements for the website.At the design stage, development tools were analyzed and selected, a preliminary page design was developed, use case diagrams, page navigation tree were created.Also, when the code was written, manual testing was done, as well as code testing in individual applications.After the work was completed and the code was written, certain tests and code reviews were performed. The code was then fixed.

Author: Radions Kasmausks

Supervisor: Boriss Mišņevs

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Application of an autonomous taxiing system, on a medium-range passenger aircraft

Currently, among the issues that most concern airlines are controlling operating costs and reducing harmful impacts on the environment.One solution to reduce fuel costs and reduce environmental impact is the use of an electric green taxiing system, which can save several hundred thousand dollars per aircraft per year, thereby increasing overall business profitability while reducing the negative impact on the environment. Wednesday.This bachelor's thesis proposes an autonomous aircraft taxiing system based on the EGTS concept, however, it is proposed to use a hydromechanical system rather than electric motors to drive the landing gear wheels.The work presents a design solution for this system for a designed prototype aircraft and calculation of the main parameters of the taxiing system. This system may have practical applications.

Author: Ričards Novikovs

Supervisor: Sergey Junusovs

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Aviation Engineering

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