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Tämän opinnäytetyön tavoitteena oli toteuttaa NMEA 2000 -väylällä kommunikoiva GNSS-vastaanottimen ohjelmisto. Laitteen tarkoitus on tarjota kymmenen kertaa sekunnissa päivittyvää sijaintitietoa veneissä oleviin NMEA 2000 ...

This thesis was commissioned by Worldsome Oy. As an appendence is a classified part which describes a practical use case for RPA, which is based on a practical project. More specifically, the classified part describes how ...

Because wind power is one the main clean energy sources, the demand for wind generated energy has been rapidly increasing all over the world. As wind turbine converter is one of the key components in wind turbine, it is ...

This thesis investigates using text mining methods, if Corporate Social Responsibility reports have been published following the guidelines of the Global Reporting Initiative Standards. To achieve this goal, several text ...

Resale businesses and product suppliers rely on enterprise resource planning (ERP) systems to manage their inventory. One of these systems is Microsoft Business Central (BC). BC can create purchase orders for sold products, ...

Recent years witnessed a boom in IoT devices resulting in big data and demand for low latency communication giving rise to a demand for 5G Networks. This shift in the infrastructure is enabling real-time decision making ...

Air quality has become a major concern for most of the cities around Europe due to rapid urbanization and industrialization. Smart City is an initiative to solve such problems by integrating information and communication ...

This thesis describes a practical work done for a startup that is building a personalized online shopping platform. The platform fetches products from different retailers and thus the data collection is a crucial part. For ...

Effective effort estimation in project planning is vital, because it helps organizations to build product plans which they can stick to, have shorter turn-around time and better cost discipline. In this thesis, a series ...

The purpose and topic of the study is to investigate can machine learning methods provide better estimations of loss reserves compared to traditional chain-ladder method. The aim is to provide the commissioning organisation ...