Sökning: "machine tool"
Visar resultat 1 - 5 av 862 uppsatser innehållade orden machine tool.
1. Klusteranalys : Tillämpning av agglomerativ hierarkisk och k-means klustring för att hitta bra kluster bland fotbollsspelare baserat på spelarstatistik.
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : This work is about how the multivariate analysis tool cluster analysis can be appliedto find meaningfull groups of players based on player statistics. The aim of the work isan attempt to find good clusters among players within the Spanish top football divisionLa Liga for the 2022-2023 season. LÄS MER
2. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. LÄS MER
3. Cross project Just-In-Time bug detection
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Software is present in almost all aspects of our lives, and with more parts of life beingdriven by code, the importance of limiting bugs is critical. Studies have shown that thelonger a bug is present in a system increases the complexity of finding and handlingthe bug. LÄS MER
4. Force Type ID, a Two-Factor-Authentication based on force sensitive keys and password
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The conventional computer keyboard keys work as binary switch systems and have stayed the same since the invention of typewriters. With the accelerated progress in forcesensing technology, force-sensitive keyboards have become viable consumer products due to advancements in manufacturing. LÄS MER
5. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. LÄS MER