Sökning: "Per Viklund"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden Per Viklund.
1. Dark patterns i cookies på svenska e-handelsföretag och dess etiska konsekvenser på användare
Kandidat-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och ITSammanfattning : This study aims to address whether Swedish e-commerce websites use dark patterns in cookies and, if so, how they do it and what users think is ethically acceptable regarding this matter. Previous research has mainly focused on identifying dark patterns and the user experience aspect of cookies and dark patterns. LÄS MER
2. Atmospheric Attenuation for Lidar Systems in Adverse Weather Conditions
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : In this study, the weather impact on lidar signals has been researched. A lidar system was placed with a target at approximately 90 m and has together with a weather station collected data for about a year before this study. LÄS MER
3. Behaviour and hygiene of finishing pigs housed in ‘Moving floor’ pens : a comparative study
Master-uppsats, SLU/Dept. of Animal Environment and HealthSammanfattning : Moving floor AB are developing self-cleaning cubicles for pigs and calves. There are however no present published reports on the effects on pigs’ behaviour in this system. The aims of this study were to see how workload, pig behaviour, pen and pig hygiene, and resting are influenced by this design and if it will change over time. LÄS MER
4. An investigation of rounding rules for Jula´s Supply Chain Management Systems
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Order picking is one of the warehouse operations that have the highest priority for improving warehouse efficiency. Without a systematic approach to assigning stock keeping units (SKUs) to appropriate storage locations, the efficiency of order picking causes additional material handling costs, as well as ineffective storage utilization in a warehouse. LÄS MER
5. Character Recognition in Natural Images Utilising TensorFlow
Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : Convolutional Neural Networks (CNNs) are commonly used for character recognition. They achieve the lowest error rates for popular datasets such as SVHN and MNIST. Usage of CNN is lacking in research about character classification in natural images regarding the whole English alphabet. LÄS MER