Essays about: "Åberg Emil"

Showing result 1 - 5 of 6 essays containing the words Åberg Emil.

1. 1. A PUGs Life : A study on social interactions in Classic and RetailWorld of Warcraft Pickup Groups.

   University essay from Uppsala universitet/Institutionen för speldesign

   Author : Emil Gårdh; Felix Åberg; [2021]
   Keywords : World of Warcraft; Sociability; Socialinteraction; PUG; MMORPG; World of Warcraft; Sociabilitet; Socialinteraktion; PUG; MMORPG;

   Abstract : This paper investigates how players interact in classic and retail World of Warcraft by conducting a participant observation study by joining Pickup Groups (PUGs) to play through dungeons. Chat activity is logged and all messages are categorised into different types depending on what is conveyed in an attempt to see if and how social interactions differ between the games. READ MORE

3. 2. MINIMIZING INTER-CORE DATA-PROPAGATION DELAYS IN PARTITIONED MULTI-CORE REAL-TIME SYSTEMS USING SCHEDULING HEURISTICS

   University essay from Mälardalens högskola/Akademin för innovation, design och teknik

   Author : Emil Åberg; [2021]
   Keywords : Embedded Systems Scheduling Heuristic Multi-Core;

   Abstract : In the field of embedded systems, computers embedded into machines ranging from microwaveovensto assembly lines impact the physical world. They do so under tight real-time constraintswith ever-increasing demand for computing power and performance. READ MORE

4. 3. Strategy Analysis and Portfolio Allocation : A study using scenario simulation and allocation theories to investigate risk and return

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Emil Bylund Åberg; Johannes Fåhraeus; [2020]
   Keywords : Allocation theories; Markowitz; Black-Litterman; scenario modeling; risk measures; return; benchmark; investment strategy; Allokerings teorier; Markowitz; Black-Litterman; scenario moderering; riskmått; avkastning; jämförelseindex; investerings strategier;

   Abstract : Portfolio allocation theories have been studied and used ever since the mid 20th century. Nevertheless, many investors still rely on personal expertise and information gathered from the market when building their investment portfolios. READ MORE

5. 4. Artificial Intelligence in Customer Service : A Study on Customers' Perceptions regarding IVR Services in the Banking Industry

   University essay from Linnéuniversitetet/Institutionen för marknadsföring (MF)

   Author : Emil Åberg; Yeshodeep Khati; [2018]
   Keywords : IVR; AI; Customer Service; Banking; Customer Satisfaction; Wait time; TAM; Technology Acceptance Model; Sweden;

   Abstract : Title: Artificial Intelligence in Customer Interactions: A Study on Customers' Perceptionsregarding IVR Services in the Banking Industry Purpose: The purpose of this paper was to explore consumer perspectives on automated IVRcustomer services. Design/methodology/approach: This research paper was conducted qualitatively, where theresearchers developed a framework and a suggested model based on existing research andcollected primary data from eight interviews with open-ended questions. READ MORE

6. 5. Using Molecular Dynamics and Enhanced Sampling to Predict Binding Poses Beyond The Rigid-Docking Approximation

   University essay from Lunds universitet/Biofysikalisk kemi

   Author : Emil Åberg; [2017]
   Keywords : GAFF; FXR; farnesoid X receptor; MD; computational; enhanced sampling; binding; receptor; ligand; Simulations; Reconnaissance; Metadynamics; Docking; Molecular Dynamics; Protein; AMBER; force fields; structure prediction; crystallography; collective variables; potential; bias potential; biophysical chemistry; biofysikalisk kemi; Chemistry; Technology and Engineering; Biology and Life Sciences;

   Abstract : A computational method is described and tested for prediction of ligand-binding poses between the human farnesoid X receptor and a set of 36 potential agonists, provided by the D3R Grand Challenge 2016. Using tools such as Molecular Docking, Molecular Dynamics, Reconnaissance metadynamics and cluster analysis, the method is an attempt to predict the binding pose without being biased by experimental data. READ MORE