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Context-aware applications generally need to retrieve various kinds of dynamic context data from a large number of context sources. A middleware managing context sources must provide an efficient context lookup mechanism to ease application development. In this paper, we categorize the context sources as operating spaces and propose semantic peer-to-peer overlays over these spaces to accelerate dy

Estimating depth from an image is an ill-fitted problem, since we project a three-dimensional space to a two-dimensional image. However, human can estimate a plausible depth from only a single eye and often are we relaying on this for quick estimation of moving objects. Although machine learning has shown to be powerful in computer vision tasks, the process of constructing deep learning models is

In this paper we address the problem of generating efficient software implementations for a large class of dataflow programs that is characterized by highly data-dependent behavior and which is therefore in general not amenable to compile-time scheduling. Previous work on implementing dataflow programs has emphasized classes of stream processing algorithms that exhibit sufficiently regular behavio

Mathematical optimization is becoming increasingly important for engineering in general and control in particular. This thesis deals with numerical methods, primarily direct collocation, and symbolic methods, primarily block-triangular ordering and tearing, for numerical solution of general dynamic optimization problems involving dynamical systems modeled by large-scale differential-algebraic equa

This paper extends the half-panel jackknife (HPJ) estimator to GMM models with fixed effects. The Monte Carlo results show that the HPJ significantly reduces finite-sample bias for both the difference and system GMM estimators of the dynamic panel model.

Given monocular video of people performing daily tasks our objective is to estimate the 3D positions of 32 given joints associated to the human skeleton. Due to the success of deep convolutional networks in image classification, image segmentation and activity recognition we propose to estimate 3D joint positions from video using deep convolutional networks. The modeling is carried out within the

Now more than ever, optimizing resource allocation in cloud computing is becoming more critical due to the growth of cloud computing consumers and meeting the computing demands of modern technology. Cloud infrastructures typically consist of heterogeneous servers, hosting multiple virtual machines with potentially different specifications, and volatile resource usage. This makes the resource alloc

It is well known that Lithium-ion batteries in thermal runaway can emit gases with high hydrogen concentrations which, in case of delayed ignition, can cause a gas explosion. Aerosol suppression agents are sometimes used to suppress fires and/or prevent ignition of released gases in such situations. The agent has been studied for suppression of fires (diffusion flames), but less is known about the

We conduct advanced research on the climate – exploring what affects it, historical patterns, biosphere-atmosphere interactions, and what we can expect in the future with a changing climate. The effects of climate change are already becoming apparent: average global temperatures are rising, ice is melting, and sea levels are rising. All aspects of life are being affected. Conditions for people and

https://www.lunduniversity.lu.se/research-and-innovation/focus-areas/strategic-research-areas/climate-research - 2026-10-07

An accurate description of the wireless channel is essential to the development of modern wireless systems. In order to mathematically model the propagation channel, one important prior step often done is high-resolution parameter estimation. The estimation accuracy of this step has a significant impact on how well the channel models can represent reality. In this paper, we address this by improvi

Dynamic kinetic resolution (DKR) reactions in which a stereoselective enzyme and a racemization step are coupled in one pot would represent powerful tools for the production of enantiopure amines through enantioconvergence of racemates. The exploitation of DKR strategies is currently hampered by the lack of effective, enzyme-compatible and scalable racemization strategies for amines. In the presen

Mathematical modelling has proven to be very useful in process design, operation and optimisation. A recent trend in WWTP modelling is to include the different subunits in so-called plant-wide models rather than focusing on parts of the entire process. One example of a typical plant-wide model is the coupling of an upstream activated sludge plant (including primary settler, and secondary clarifier

https://www.lu.se/studera/industridesign-masterutbildning-TAIDE - 2026-10-09

LAMiNATE Talks | Centre for Languages and Literature LAMiNATE Talks Link to rss Type of events All events Seminar Events per semester Choose semester autumn 2025 spring 2026 autumn 2026 13 Oct 13 October 2026 15:15 to 16:30 Seminar LAMiNATE Talk: Klara Marton, Cognitive control along two language dimensions: language ability and bilingual proficiency 27 Oct 27 October 2026 15:15 to 16:30 Seminar L

https://www.sol.lu.se/en/the-department/calendar/seminar-series/LAMiNATE+Talks/ - 2026-10-08

LAMiNATE Talks | Centre for Languages and Literature LAMiNATE Talks Link to rss Type of events All events Seminar Events per semester Choose semester autumn 2025 spring 2026 autumn 2026 13 Oct 13 October 2026 15:15 to 16:30 Seminar LAMiNATE Talk: Klara Marton, Cognitive control along two language dimensions: language ability and bilingual proficiency 27 Oct 27 October 2026 15:15 to 16:30 Seminar L

https://www.sol.lu.se/en/the-department/calendar/seminar-series/LAMiNATE%20Talks/ - 2026-10-09

A primary functionality of context aware applications is the retrieval of different types of context data from various context sources and adapting their behavior accordingly. In order to facilitate context aware application development, a context aware middleware must provide an effective context data management and lookup strategy. The use of a traditional index for indexing dynamic context data