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In the RUNES project a disaster relief tunnel scenario is being developed in which mobile robots are used to restore the radio network connectivity in a stationary sensor network. A component-based software development approach has been adopted. Two components are described in this paper. A localization component that uses ultrasound and dead reckoning to decide the robot positions and a collision

Fluorescence spectroscopy in two different biomedical applications have been studied. One field has been to explore whether fluorescence spectroscopy can be used to determine the depth of a fluorescent object inside a tissue-like medium. Recorded fluorescence spectra depend on the localisation of the fluorescent inclusion and may provide additional information for optical tomography. The second ma

The prediction and probability assignment (PPA) concept is important in lossless image compression. We report on a new approximate technique for PPA based on local optimization.

To explore the internal flow distributions and heat transfer mechanism in different types of independent cooling modules for automotive, numerical, and experimental studies were conducted. According to the study, the independent cooling modules with parallel structure, on which the heat exchangers were located separately and close to the inlets, the performance improvement was significant. In addi

Doctoral education in medicine, engineering, technology and science (METS) is in many ways different from doctoral education in the humanities or social sciences. In the METS disciplines, typically, students and supervisors work and publish together within the supervisors’ research projects. The projects are usually financed by the supervisors’ research grants and their success, in terms of high q

Power electronics result in increased harmonic distortion, but can also be used for harmonic mitigation. This requires simple, low order models for nonlinear networks. The Harmonic Norton Equivalent is a load model structure that supports aggregation of nonlinear loads, and makes nonlinear network solving (i.e. simulation) a non-iterative procedure. It is a linearized description of the relation b

The development of models that provide accurate spatio-temporal predictions of ambient air pollution at small spatial scales is of great importance for the assessment of potential health effects of air pollution. Here we present a spatio-temporal framework that predicts ambient air pollution by combining data from several different monitoring networks and deterministic air pollution model(s) with

The construction industry is often described as mature, conservative and resistant to change in research studies, governmental reports as well as in media. Both scholars and policy makers thereby find it critical to encourage innovation, development, and change within the construction industry. This study takes on a different perspective by investigating changes that have actually taken place. The

Chemicals is the industrial sector with the highest energy demand, using a substantial share of global fossil energy and emitting increasing amounts of greenhouse gasses following rapid growth over the past 25 years. Emissions associated with energy use have increased with growth in coal-dependent regions but are also commonly underestimated in regions with higher shares of renewable energy. Renew

We explore mental health as a potential mechanism to explain the labor market penalty of an early-onset physical disability using administrative data from Sweden. For methodological reasons, we focus on persons with Cerebral Palsy (CP) and use prescriptions for mental health conditions. We examine how much of the differences in labor market outcomes is explained by prescriptions for mental health

Thermal energy storage is likely to be integral to a sustainable, secure and affordable energy system facing ever greater challenges in matching supply and demand. Techno-economic studies have explored the potential for thermal storage deployment, but transitions in the energy system are also influenced by the activities and decisions of an array of actors. We gathered new empirical evidence from

This paper presents a new Hardware (HW) im- plementation proposal for Discrete Fourier Transform (DFT) based channel estimators. The presented algorithm uses the high time correlation property of the channel estimates to reduce the complexity and the power consumption by utilizing a lower number of bits for the FFT in the channel estimator, compared to a traditional approach. The idea is that the