• Automatic Supervisory Controller for Deadlock Control in Reconfigurable Manufacturing Systems with Dynamic Changes 

  Kaid, Husam; Al-Ahmari, Abdulrahman; Li, Zhiwu; Davidrajuh, Reggie (Peer reviewed; Journal article, 2020-07)

  In reconfigurable manufacturing systems (RMSs), the architecture of a system can be modified during its operation. This reconfiguration can be caused by many motivations: processing rework and failures, adding new products, ...

• Attitude and Heading Reference System for a laboratory drilling rig control system 

  Alsaker-Haugen, Joakim Andrè (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-13)

  This thesis describes the work done in contribution to the UiS Drillbotics 2020 drill rig design for the annual international Drillbotics competition. Drillbotic is a competition for universities to design and build a ...

• Federated Learning for Dementia Classification in a European Multicentre Dementia Study 

  Hesseberg, Ruben; Minne, Petter (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)

  Every year around 10 million people are diagnosed with dementia worldwide. Higher life expectancy and population growth could inflate this number even further in the near future. Currently the diagnostic process of dementia ...

• Picking Products from Distribution Containers by Object Detection and Occlusion Estimation 

  Ytterstad, Sigurd (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-28)

  There is a significant increase in e-commerce, and groceries are entering the online platform. With this development, and with customers wanting to change their shopping habits from brick-and-mortar stores to the online ...

• Automatic Video Analysis in Resuscitation 

  Meinich-Bache, Øyvind (PhD thesis UiS;, Doctoral thesis, 2020-01)

  This thesis investigates possibilities for applying automatic video analysis in the medical context of resuscitation of a patient. Two situations are investigated: 1) Out-of-hospital cardiac arrest (OHCA) where there is a ...

• Scaling Network Embeddings 

  Maksyk, Vladyslav (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)

  A Recommendation System is an intelligent machine learning system that seeks to predict a customer ranked set of personalized products from a dynamic pool of diverse choices. We can define the main objective of such systems ...

• Fog Computing for Realizing Smart Neighborhoods in Smart Grids 

  Jaiswal, Rituka; Davidrajuh, Reggie; Chunming, Rong (Peer reviewed; Journal article, 2020-09)

  Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet ...

• Single Controller-Based Colored Petri Nets for Deadlock Control in Automated Manufacturing Systems 

  Kaid, Husam; Li, Zhiwu; Davidrajuh, Reggie (Peer reviewed; Journal article, 2020-01)

  Deadlock control approaches based on Petri nets are usually implemented by adding control places and related arcs to the Petri net model of a system. The main disadvantage of the existing policies is that many control ...

• 5G Network Slicing: A Security Overview 

  Olimid, Ruxandra; Nencioni, Gianfranco (Peer reviewed; Journal article, 2020-05)

  The fifth-generation (5G) of cellular networks is currently under deployment by network operators, and new 5G end-user devices are about to be commercialized by many manufacturers. This is just a first step in the 5G's ...

• Generering av bane for lakkeringsrobot ved bruk av datasyn 

  Grøvdal, Axel Hansen (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-13)

  I dag produseres det mange varer i ulike fasonger som trenger ett lag eller to med spraylakk. Denne lakken kan forlenger levetiden til produktet, bidra til sikkerhet ved bruk av sterke farger, eller rett og slett la produktet ...

• Prediction of Psychosis in Parkinson’s Patients using Machine Learning 

  Podhraški, Andrijana; Tjersland, Trond (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)

  Parkinson’s disease is one of the most common neurological disorders with an estimated 6.3 million PD patients worldwide, which makes it a great threat to public health. Psychosis is a common symptom of Parkinson’s disease ...

• Semi-Supervised Image Segmentation of Medical Data 

  Dalheim, Ove Nicolai (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)

  Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ...

• Classifying Dinoflagellates in Palynological Slides Using Convolutional Neural Networks 

  Nesse, Aleksander Borge (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)

  The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts estimates that of the total reserves on the Norwegian shelf only 52 percent have been discovered. During test drilling, core ...

• Adapt and Generalize Deep Learning Methods for Activity Recognition on Newborn Resuscitation Videos 

  Lapin, Håvard (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)

  Low- and middle-income countries have nearly 99 % of deaths of children under 28 days. Complications during childbirths, such as birth asphyxia, account for most of these deaths. To prevent this, strengthening the quality ...

• Estimering av ladestatus i en elektrisk racerbil med bruk av Kalmanfilter 

  Tjørhom, Raymond (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)

  Denne oppgaven er skrevet i samarbeid med ION Racing, en studentorganisasjon ved Universitetet i Stavanger som hvert år bygger en elektrisk racerbil. Oppgaven dreier seg om ferdigstillelse av et batteriovervåkningssystem ...

• Active Noise Control in the Offshore Industry 

  Mehus, Haakon (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-29)

  Hearing damage among offshore workers has been a problem for many years, and it remains one of the most common disorders in this group. A proposal to use active noise control to improve the noise conditions has thus been ...

• Kalmanfilter anvendt på biologiske prosessmodeller 

  Sandmoen, Kristian (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-29)

  I denne masteroppgaven er det blitt utført forsøk for å utforske anvendelsen av Kalmanfilter på biologiske prosessmodeller. Først har det blitt implementert en modell for et biologisk kontrollmotiv. Deretter har et ...

• Regional Convolutional Neural Network for Cell Detection and Classification in Urinary Bladder Cancer 

  Urteaga, Jon (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)

  Bladder canceristhefourth most common type of cancer in men and the eighth in women. Patient treated for this cancer must be monitored for the rest of their live due to the recurrence of this disease.That need for monitoring ...

• Miniatyrlogger for datainnsamling og lagring 

  Havnen, Eirik Bergum (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-21)

  Brunvoll AS har tidligere levert loggeenheter/tilstandskontrollsystem til ulike fartøy gjennom flere år, for å samle inn data fra prosesskontrollere til baug- og hekkpropeller. Ved fartøy der de ikke har levert ...

• Exploring Generative Adversarial Networks to Improve Prostate Segmentation on MRI 

  Larsen, Steinar Valle (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-28)

  Prostate cancer is the second most occurring cancer and the sixth leading cause of cancer death among men worldwide. The number of cases is expected to increase dramatically due to population growth and increased expected ...

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