Blar i Faculty of Science and Technology på tittel
Viser treff 3188-3207 av 7029
-
Identification of Nonlinear Conservation Laws Using Symbolic Neural Networks
(PhD Theses;731, Doctoral thesis, 2023)Nonlinear dynamical systems are omnipresent in nature, commonly seen in many disciplines such as physics, biology, chemistry, climate science, and engineering. In this thesis, we introduce several new ideas by integrating ... -
Identification of peroxisomal phosphatase-related proteins in Arabidopsis thaliana
(Masteroppgave/UIS-TN-IMN/2014;, Master thesis, 2014-06-10)Phosphorylation is a key regulatory mechanism in all aspects of plant biology, and protein phosphorylation is the most frequent post-translational protein modification. The complete genomic sequence of the model plant ... -
Identification of Peroxisome-Targeted Proteins Implicated in Plant Innate Immunity in Arabidopsis thaliana
(PhD thesis UiS;146, Doctoral thesis, 2011)Peroxisomes are subcellular organelles, traditionally known to be involved in processes like photorespiration, fatty acid β-oxidation, and detoxification of reactive oxygen species. Proteome analysis of plant peroxisomes ... -
Identification of project cost drivers and analysis of financial awareness amongst project teams for cost reduction purposes in Halliburton Pipeline & Process Services Scandinavia
(Masteroppgave/UIS-TN-IØRP/2014;, Master thesis, 2014-06-16)This Master’s Thesis describes the financial awareness amongst the onshore project teams in Pipeline & Process Services (PPS) Scandinavia, a Sub-Product Service Line (PSL) of Halliburton. Financial awareness is in this ... -
Identification of safety cultural aspects on drilling rigs with international working environment
(Masteroppgave/UIS-TN-IPT/2013;, Master thesis, 2013-04-15)With global economy rapidly grows and strong social needs, energy has become an important strategic resources for national development. Although many countries are making great efforts to develop sustainable energy such ... -
Identification of the flux function of nonlinear conservation laws with variable parameters
(Peer reviewed; Journal article, 2023-09)Machine learning methods have in various ways emerged as a useful tool for modeling the dynamics of physical systems in the context of partial differential equations (PDEs). Nonlinear conservation laws (NCLs) of the form ... -
Identification of the safety operating envelope of a novel subsea shuttle tanker
(Peer reviewed; Journal article, 2022-10)A baseline Subsea Shuttle Tanker (SST) was proposed as a cost-efficient maritime transportation method. It is designed to be a 164 m length, 17 m beam autonomous underwater vessel with a cargo capacity of over 16,000 m3. ... -
Identifisere objekter på et bord ved hjelp av bildebehandling i Matlab slik at de kan plukkes opp av robot.
(Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-12)Denne masteroppgaven har som mål å detektere DUPLO klosser ved hjelp av et kamera og bildebehandling gjennom MATLAB for så å plukke opp klossene med en ABB IRB140 robot. Resultatet er et program som kan brukes til demonstrasjon ... -
Identify and handle safety challenges during decommissioning of offshore installations
(Masteroppgave/UIS-TN-IØRP/2016;, Master thesis, 2016-06-15)Most of the offshore oil and gas installations are going towards the cessation of their production life, which means that the decommissioning activity will be increasing in years to come. Decommissioning of the offshore ... -
Identify environmentally critical elements (ECE)
(Masteroppgave/UIS-TN-IKM/2014;, Master thesis, 2014-06-10)This study is based on information from internal GDF SUEZ E&P Norge AS (GDF SUEZ) documents. This includes system books, P&ID’s and external journals regarding Environmentally Critical Elements (ECE). The scope of the ... -
Identifying and evaluating high risk areas and challenges on marine drilling riser system in relation to deepwater problems
(Masteroppgave/UIS-TN-IKM/2012;, Master thesis, 2012)The main concerns during drilling operations are riser integrity and maintaining well control. This thesis has mainly been focusing on the problems and challenges faced with the marine riser system to illuminate high risk ... -
Identifying challenges facing reliable supply chains and ways to mitigate then for mining in the Baffin Bay region
(Peer reviewed; Journal article, 2021)There are substantial economic opportunities in extracting minerals in the Arctic region. However, it has proven difficult for operators to ensure reliable supply chains (SCs) north of the Arctic Circle. This paper uses a ... -
Identifying hazards to include in risk analyses
(Peer reviewed; Chapter, 2018)A risk analysis should provide decision makers with information regarding relevant hazards. The initiating phase, where the risk analysts identify hazards to be included in the risk analysis, lays the foundation for the ... -
Identifying innovation opportunities emerging from technology and business trends
(PhD thesis UiS;, Doctoral thesis, 2023)Businesses are continuously looking for opportunities to innovate. There is a gap in the literature regarding innovation models and approaches that are systematic, practical and easy to apply. This thesis addresses this ... -
Identifying Opportunities for Aligning Production and Consumption in the U.S. Fisheries by Considering Seasonality
(Peer reviewed; Journal article, 2022)Seasonality is a natural feature of wild caught fisheries that introduces variation in food supply, and which often is amplified by fisheries management systems. Seasonal timing of landings patterns and linkages to consumption ... -
The identity of the frog fly Caiusa coomani Séguy, 1948 (Diptera, Calliphoridae)
(Journal article; Peer reviewed, 2011-01-10) -
Image Processing and Analysis of Leaf Movement in Mimosa Pudica
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)This thesis has the aim of develop and improve methods used in an ongoing research project at the University of Stavanger, where the plant mimosa pudi- cas response to change in its illuminative conditions is being ... -
Image processing and classification of urothelial carcinoma using tissue sample images
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)Bladder cancer is the 6th most common cancer in the world, with 429.000 new incidents reported in 2012, of which urothelial carcinoma is the most common. Prognostic value of the current grading systems are low, with only ... -
Image Processing and Deep Neural Networks for Detection of Immune Cells on Histological Images of Bladder Cancer
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Bladder cancer is the tenth most common cancer type, where urothelial carcinoma is the most common type of bladder cancer. Bladder cancer has been classified as the most expensive type of cancer per patient, as the need ... -
An image processing approach to reconstruct wind using long-range wind lidars
(Peer reviewed; Journal article, 2023)Lidar-based wind sensing technology, originally used in the wind energy sector, is now being utilized in wind engineering to monitor wind action for designing fjord-crossing infrastructure like long-span bridges. Accurate ...