Opin vísindi
Opin vísindi er varðveislusafn vísindaefnis og doktorsritgerða í opnum aðgangi á vegum íslenskra háskóla og Landsbókasafns Íslands - Háskólabókasafns.
Opinn aðgangur að rannsóknaniðurstöðum er í samræmi við 10. gr. laga nr. 3/2003 um opinberan stuðning við vísindarannsóknir sem og kröfur innlendra og erlendra rannsóknasjóða. Markmiðið með opnum aðgangi er að niðurstöður rannsókna séu aðgengilegar sem flestum óhindrað og án endurgjalds á rafrænu formi. Vistun í varðveislusafninu er varanleg og ætlað að tryggja aðgang að vísindaefni íslenskra háskóla í opnum aðgangi um ókomna tíð. Varðveislusafnið Opin vísindi er tengt við rannsóknagáttina IRIS og rannsóknaniðurstöður í opnum aðgangi sem eru skráðar í IRIS eru um leið vistaðar og gerðar aðgengilegar til framtíðar í varðveislusafninu. Með því að safna þessu efni saman í eitt safn verður aðgangur að því einfaldur og þægilegur fyrir alla sem vilja kynna sér það og geta þannig notið þess öfluga vísindastarfs sem fram fer í háskólum landsins.
Varðveislusafnið er OpenAIRE / OpenAIREplus samhæft og samrýmist kröfum sem gerðar eru um birtingu rannsóknaniðurstaðna úr verkefnum sem styrkt eru úr evrópsku rannsóknaáætlununum FP7 og H2020.
Varðveislusafnið notar opna hugbúnaðinn DSpace.
Opinn aðgangur að rannsóknaniðurstöðum er í samræmi við 10. gr. laga nr. 3/2003 um opinberan stuðning við vísindarannsóknir sem og kröfur innlendra og erlendra rannsóknasjóða. Markmiðið með opnum aðgangi er að niðurstöður rannsókna séu aðgengilegar sem flestum óhindrað og án endurgjalds á rafrænu formi. Vistun í varðveislusafninu er varanleg og ætlað að tryggja aðgang að vísindaefni íslenskra háskóla í opnum aðgangi um ókomna tíð. Varðveislusafnið Opin vísindi er tengt við rannsóknagáttina IRIS og rannsóknaniðurstöður í opnum aðgangi sem eru skráðar í IRIS eru um leið vistaðar og gerðar aðgengilegar til framtíðar í varðveislusafninu. Með því að safna þessu efni saman í eitt safn verður aðgangur að því einfaldur og þægilegur fyrir alla sem vilja kynna sér það og geta þannig notið þess öfluga vísindastarfs sem fram fer í háskólum landsins.
Varðveislusafnið er OpenAIRE / OpenAIREplus samhæft og samrýmist kröfum sem gerðar eru um birtingu rannsóknaniðurstaðna úr verkefnum sem styrkt eru úr evrópsku rannsóknaáætlununum FP7 og H2020.
Varðveislusafnið notar opna hugbúnaðinn DSpace.
Nýlega bætt við
Introduction to the 9th Annual Lifelog Search Challenge, LSC'26
(Association for Computing Machinery, Inc, 2026-06-15) Tran, Allie; Bailer, Werner; Dang-Nguyen, Duc Tien; Healy, Graham; Hodges, Steve; Jónsson, Björn Þór; Hürst, Wolfgang; Rossetto, Luca; Schoeffmann, Klaus; Tran, Minh Triet; Zhou, Liting; Gurrin, Cathal; Department of Computer Science
The ACM Lifelog Search Challenge (LSC) is an annual comparative benchmarking exercise that brings together researchers in the field of multimedia retrieval to evaluate interactive search systems using a large-scale multimodal lifelog dataset. This paper presents an overview of the ninth edition of the challenge (LSC'26), held as a workshop during the ACM International Conference on Multimedia Retrieval (ICMR '26) in Amsterdam. To broaden its scope, the workshop now features three submission tracks: the traditional Challenge Track for real-time search performance, a new General Lifelog Research Track for theoretical and architectural advancements, and an additional Open Source Track aimed at enhancing reproducibility and reducing barriers to entry for new participants.
Governing fisheries for sustainability : How ITQs can contribute to the SDGs
(2025-10-23) Gunnlaugsson, Stefán Bjarni; Faculty of Business Administration
Influence of consumer attitudes and social interactions in electric vehicle purchasing : integrating agent-based modelling and machine learning
(2026-04) Xu, Wen; Harris, Irina; Li, Jin; Wells, Peter; Foxall, Gordon; Department of Business and Economics
Accepted by: Prof. Aris Syntetos Understanding consumer attitudes towards electric vehicle (EV) purchasing is essential for addressing the slow adoption rate. Traditional aggregated models of EV adoption employ a top-down approach, yet often fail to capture individual-level attitudes. In contrast, agent-based modelling (ABM) enables a bottom-up approach that reflects the heterogeneity in consumer decision-making and simulates social interactions. This study introduces an integrated model to analyze consumer attitudes towards EV adoption, incorporating empirical data and synthesized social interactions through ABM. The model undergoes micro-validation and optimization through parameter variation experiments and supervised machine learning (SML) methods. Results indicate that consumer attitudes towards EV purchasing are positively influenced by early adopters and environmental factors. These attitudes are further shaped by observing EVs in residential areas and receiving positive feedback from social circles. Perceptions of EVs as an environmentally friendly alternative also significantly enhance these attitudes. These findings suggest that marketers should develop targeted strategies for specific consumer segments, and policymakers should prioritize environmental awareness campaigns to drive positive public EV attitudes in the UK. This study emphasizes the importance of incorporating consumer heterogeneity and social interactions in attitude formation, which offers insights into EV promotion within Rogers’s Diffusion of Innovations Theory.
Gradient Clock Synchronization with Practically Constant Local Skew
(Association for Computing Machinery, 2026-07-01) Lenzen, Christoph; Department of Computer Science
Gradient Clock Synchronization (GCS) is the task of minimizing the local skew, i.e., the clock offset between neighboring clocks, in a larger network. While asymptotically optimal bounds are known, from a practical perspective they have crucial shortcomings:• Local skew bounds are determined by upper bounds on offset estimation that need to be guaranteed throughout the entire lifetime of the system.• Worst-case frequency deviations of local oscillators from their nominal rate are assumed, yet frequencies tend to be much more stable in the (relevant) short term.State-of-the-art deployed synchronization methods adapt to the true offset measurement and frequency errors, but achieve no nontrivial guarantees on the local skew.In this work, we provide a refined model and novel analysis of existing techniques for solving GCS in this model. By requiring only stability of measurement and frequency errors, we can circumvent existing lower bounds, leading to dramatic improvements under very general conditions. For example, if links exhibit a uniform worst-case estimation error of Δ and a change in estimation errors of δ ≪ Δ on relevant time scales, we bound the local skew by O( (Equation Presented ) D) for networks of diameter D, effectively "breaking"the established Ω(Δ log D) lower bound, which holds when δ = Δ. Surprisingly, these results require only very limited knowledge of Δ. In particular, the likely dominant term of O( (Equation Presented ) in the local skew is determined by the actual link performance, not an upper bound covering worst-case conditions.The full version of this paper [17] also shows how to achieve full self-stabilization, perform external synchronization, and limit the influence of local oscillators on δ to scale with the change of frequency of an individual oscillator on relevant time scales.
Finite-Element Analysis of the Quasi-Static Response of Concrete Specimens Containing Polymeric Self-Healing Microcapsules
(2026-06) Zhelyazov, Todor
Healing agent encapsulated in polymeric microcapsules has proven its ability to seal surface and internal cracks. Focused on mitigating the negative impact of capsules on the properties of fresh cement paste and hardened cementitious matrix, uncertainties in self-healing triggering, and poor control of the released quantity, researchers report technological improvements in predominantly experimental studies. However, practical applications will necessitate lightweight models that capture all the characteristics of practical importance. Analysis of the scientific literature reveals the lack of such models adapted for cementitious composites. In this paper, a model rooted in continuum damage mechanics, tuned based on empirical data, is used in the finite element analysis of concrete specimens containing polymer self-healing microcapsules to quantify self-healing efficiency and local damage-healing behavior. The predicted increase in the self-healing rate is more pronounced for specimens subjected to compression compared to that for elements subjected to four-point bending. Thus, for a 20% increase in healing efficiency, strength recovery in compression increases from 18.5% to 32% for C25 and C30, respectively, whereas the corresponding values for tension in the tension-be-flexure setup are 3.5% and 5.3%.
Flokkar í Opnum vísindum
Veldu flokk til að skoða.
- University of Iceland
- University of Akureyri
- Bifröst University
- Hólar University College
- IRIS
- Agricultural University of Iceland
- National and University Library of Iceland
- Iceland University of the Arts