Sökning: "Kasper Liu"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Kasper Liu.

1. 1. Jämförelse av OPS, MQTT och DDS med avseende på fördröjningstid och throughput

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Kasper Nilsson; Alicia Bergman; [2023]
   Nyckelord :publish-subscribe; communication protocol; latency; throughput; publish-subscribe; kommunikationsprotokoll; fördröjningstid; throughput;

   Sammanfattning : In this study a comparison of the publish-subscribe communication protocols OPS, MQTT and DDS were conducted. The implementation used for DDS was fastDDS and the client library Paho Eclipse MQTT C++ was used for MQTT with the broker implementation Eclipse Mosquitto. LÄS MER

3. 2. Telemetry for Debugging Software Issues in Privacy-sensitive Systems

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Kasper Landgren; Payam Tavakoli; [2023]
   Nyckelord :telemetry; privacy; distributed tracing; debugging; privacy-sensitive system; tracing;

   Sammanfattning : Traditionally, when debugging a software system, developers rely on having access to the input data that caused the error. However, with data privacy concerns on the rise, it is becoming increasingly challenging to rely on input data as it might be sensitive or even classified. LÄS MER

4. 3. I Don’t Need Permission,Make My Own Decisions : Hur BI används som beslutsstöd inom svenska SMEs

   Master-uppsats, Linköpings universitet/Informationssystem och digitalisering; Linköpings universitet/Filosofiska fakulteten

   Författare :Kasper Wahlström; Simon Holmberg; [2022]
   Nyckelord :Key Words: Business Intelligence BI ; Decision-Support; Theory of Technology Dominance; Decision-Making; Intuition; SMEs; Nyckelord: Business Intelligence BI ; beslutsstöd; Theory of Technology Dominance; beslutsfattande; intuition; SMEs;

   Sammanfattning : Background and Problem Statement: Effective decision-making based on accurate information iscritical to the survival of organizations. New tools have for many decades been developed to improvedecision-making within organizations, but increasingly dynamic and complex business environmentscontinue to create a need for better data and tools for organizations to be able to make faster and moreprecise decisions. LÄS MER

5. 4. Classification of Repeated Measurement Data Using Growth Curves and Neural Networks

   Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Författare :Kasper Andersson; [2022]
   Nyckelord :Repeated Measurement Data; Sequential Data; Growth Curve Model; Linear Discriminant Analysis; Neural Network; Recurrent Neural Network; LSTM; Upprepade Mätningar; Sekventiell Data; Tillväxtkurvor; Linjär Diskriminantanalys; Neurala Nätverk; Recurrent Neurala Nätverk; LSTM;

   Sammanfattning : This thesis focuses on statistical and machine learning methods designed for sequential and repeated measurement data. We start off by considering the classic general linear model (MANOVA) followed by its generalization, the growth curve model (GMANOVA), designed for analysis of repeated measurement data. LÄS MER

7. 5. Microservice Migration Patterns and how Continuous Integration and Continuous Delivery are affected : A Case study of Indicio’s journey towards microservice

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Kasper Liu; [2021]
   Nyckelord :Microservice architecture; Monolithic Architecture; DevOps; Continuous Integration; Continuous Delivery; Cloud; Migration; Microservice architecture; Monolithic Architecture; DevOps; Continuous Integration; Continuous Delivery; Cloud; Migration;

   Sammanfattning : Microservice is an architectural design that promises a more elastic system where a microservice can be allocated compute power according to demand. Through the separation of components, each microservice can have its own hardware or cloud setup. As a result, the code becomes more maintainable through smaller repositories. LÄS MER