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Visar resultat 21 - 25 av 826 uppsatser som matchar ovanstående sökkriterier.
21. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). LÄS MER
22. DRY POWDER FOR INHALATION - INFLUENCE OF MIXING PROCESS AND ADDITION OF MAGNESIUM STEARATE
Master-uppsats, Lunds universitet/Livsmedelsteknik och nutrition (master)Sammanfattning : For efficient treatment of many diseases of the lung, it is beneficial to deliver the medicine to the respiratory tract directly. This ensures a rapid response since it can enter the bloodstream directly through the alveolar epithelium. Consequently, also decreases systemic effects due to the local treatment. LÄS MER
23. Cross-border Merger and Acquisitions: “The impact of tonality and effective communication on performance for acquiring firms” A study of Swedish companies
Magister-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : The research examines the effect of tonality on cross-border mergers and acquisitions (M&A) based on press release announcements. The impact of effective communication, tonality, and positive and negative words on the investor's behaviour and firm performance will be analysed to understand the impact on internal and external stakeholders. LÄS MER
24. Autonomous Navigation: LIDAR-based SLAM, Terrain of Technology Explored
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In this thesis, an autonomous system capable of navigating and mapping unknown environments is developed. The solution uses a family of algorithms called SLAM or simultaneous localization and mapping, capable of mapping the environment and retaining accurate position data without external sensors such as GPS. LÄS MER
25. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension
Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknikSammanfattning : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). LÄS MER