Browsing Master of Science in Industrial IT and Automation by Issue Date
Now showing items 1-20 of 63
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Design and development of Windows Store application for measurements and monitoring
(Master thesis, 2015-09-18)The apparatus and technical implementations used to measure and monitor weather parameters, combined with the mathematical models used to predict the weather makes a weather system perfect for education and research in ... -
Open Source Hardware and Software Alternative to Industrial PLC
(Master thesis, 2016)The revolution of Internet of Things (IoT), Industrial Internet of Things (IIoT) and Industry 4.0 is approaching with new market opportunities for all kinds of smart devices. This thesis was about building such a device, ... -
Data Cloud Platform for Data Management, Logging, Control and Monitoring
(Master thesis, 2016)It has become more and more common in today's society to implement automated systems for monitoring and controlling objects remotely across existing network infrastructures. In this master’s thesis, design and implementation ... -
Optimal Bicycle Gear Selection Using Multi-Sensor Data Fusion The development of a prototype optimal gear selection system and integration with a commercial electronic transmission system for a fully automated gear shifting
(Master thesis, 2016)The latest technology in electronic transmission systems (ETS) and wireless sensors for bicycles bring a high potential to automate gear shifting on bicycles. An optimal gear selection system (GSS) for road bicycles with ... -
Characterization of Ultrasonic Waves in various Drilling Fluids
(Master thesis, 2017)The aim of this master thesis is to characterize ultrasonic wave propagation in different mud samples with respect to propagation distance using three different transducers frequency, this is expected to be an introduction ... -
Closed Loop transient response System Identification
(Master thesis, 2017)Closed-loop Transient step response analysis SID technique is known for its simplicity and effectiveness in accommodating practical constraints and operational restrictions of particular system, and thus giving customized ... -
AI Techniques in assisting elderly people at home with unobtrusive supervision of events related to health and safety
(Master thesis, 2017)AI techniques are used widely in merging technologies, such as smartphones, PC, Internet of Things (IoT) with cheap and computational power on chips. Device sizes, range of wireless communication and governmental initiatives ... -
Modelling and estimation for return mud flow during drilling
(Master thesis, 2017)Oil drilling is performed to retrieve gas and petroleum from reservoirs that can be kilometers down the earth surface. During a drilling operation, drilling fluid is pumped into the well to remove cuttings and maintain a ... -
Recursive Subspace System Identification (RSSID) algorithms
(Master thesis, 2017)The goal of system identification is to find mathematical equation that gives approximation to the actual behavior of real systems. In this thesis, a recursive subspace model identification algorithm is presented that ... -
IoT and Modbus protocol development
(Master thesis, 2017)An Internet of Things (IoT) device has been developed by the “SMART” research group at University College of Southeast Norway. It is intended for laboratory experiments. It uses Modbus TCP on top of the TCP/IP stack for ... -
Wave Front Tracking using Template Matching and Segmented Regression
(Master thesis, 2017)The Combustion, Process Safety and Explosions research group at USN has collaborated with California Institute of Technology ( Calttech) and has produced high-speed videos of shock wave fronts. These videos require a ... -
Discrete Events Modelling of a Person Behaviour at Home
(Master thesis, 2017)Modeling human behaviour remains a challenge for both computing sciences and the humanities. In this context, we worked on a routine simulation program and a human behavior analysis program. The simulation is based on the ... -
Improved flow management of Lake Toke
(Master thesis, 2017)The Telemark University College (TUC) Flood server is an advisory system that assist in the regulation of the flood gates at Dalsfos hydroelectric dam. A large flood in September 2015 revealed that the model and data storage ... -
Modelling and Control of Two Degrees of Freedom Helicopter Model
(Master thesis, 2017)USN has built multiple two degrees of freedom helicopters models that are to be used in various courses at USN to expand the knowledge of modeling and control. The helicopter model is a highly unstable system, making it a ... -
Characterization of Rheological Properties of Drilling Fluids Using Ultrasonic Waves
(Master thesis, 2018)Drilling fluid rheology is important for drilling safety and has to be constantly monitored and adjusted during drilling operations. The goal of this thesis is to attempt to create a model with neural networks that can ... -
Model based estimation of fluid flow through a venturi channel: Kalman filters and observers
(Master thesis, 2018)In oil drilling operation, the estimation of returning flow is vital for safe operation. The return flow gives an early warning of kick-loss phenomenon. Detecting kick-loss is important to prevent uncontrolled well-blowout. ... -
Experimental Evaluation of MIMO Observers and Model Based Controllers
(Master thesis, 2018)State estimators for MIMO systems and model based controllers are important for multivariable control. Many publications have presented results of multivariable control, however most of the results are obtained from ... -
Automatic Tuning of PID Controllers
(Master thesis, 2018)Proportional Integral and Derivative (PID) controllers are the most frequently used controllers in the process industry over the years. The performance is a factor of adequate tuning. The knowledge of the process is ... -
Object Detection and Tracking on a Raspberry Pi using Background Subtraction and Convolutional Neural Networks
(Master thesis, 2018)Object detection and tracking are key features in many computer vision applications. Most state of the art models for object detection, however, are computationally complex. The goal of this project was to develop a fast ...