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Inexpensive and efficient desalination is becoming increasingly important due to dwindling freshwater resources in view of climate change and population increase. Improving desalination techniques of brackish water using graphene-based materials has the possibility to revolutionize freshwater production and treatment. At the same time, graphene matter can be cheaply mass-produced from biowaste mat
Welfare capitalism has developed in the context of rapidly expanding, fossil fuel-driven industrial economies. Faced with the urgent need for systematic changes of economic systems so that they stay within planetary limits, decoupling welfare from economic growth is an important task. This chapter introduces the concept of sustainable welfare, referring to welfare systems that prioritise the satis
Driving automation systems, including autonomous driving and advanced driver assistance, are an important safety-critical domain. Such systems often incorporate perception systems that use machine learning to analyze the vehicle environment. We explore new or differing topics and challenges experienced by practitioners in this domain, which relate to requirements engineering (RE), quality, and sys
Many concepts for future generations of wireless communication systems use coherent processing of signals from many distributed antennas. The aim is to improve communication reliability, capacity, and energy efficiency and provide possibilities for new applications through integrated communication and sensing. The large bandwidths available in the higher bands have inspired much work regarding sen
The purpose of this paper is to show how requirements engineering techniques can be used to structure the development of non-technical aspects of socio-technical systems, such as guidelines. An adapted requirements engineering approach was chosen to elicit requirements for resilience guidelines within an EU Horizon 2020 multi-national project aimed at developing resilience guidelines for crisis ma
Purpose/Background: Utilizing proton therapy (PT) for treatment of Hodgkin’s lymphoma (HL) has demonstrated favorable features, particularly a reduced dose to organs at risk (OAR) in comparison with photon radiotherapy. However, there is a coherent complexity with PT including its uncertainties, such as range-uncertainties and set-up variations as protons are highly sensitive to tissue density var
Om en part har tillräckligt starka misstankar om att motparten inte kommer att fullfölja sina avtalsförpliktelser och begå ett avtalsbrott vill den drabbade parten naturligtvis skydda sig från att drabbas av brottet. Den drabbade parten kan skydda sig mot ett s.k. befarat avtalsbrott genom att utöva stoppningsrätten eller hävningsrätten. Stoppningsrätten regleras i 61 § KöpL och innebär att den drIf a party suspects the other party will not fulfill a substantial part of his obligations according to the contract this would mean that they are breaching the terms of their contract. This means that the affected party can protect itself against a breach of contract, “anticipatory breach”, under contractual law by exercising the rights of suspension or cancellation (stoppningsrätten or hävningsr
Popular science Carbon cycle has great importance in all time scales for its inter-connected relation and response with climate system. Increased anthropogenic emission of CO2 is alleged to impact the climate system in the future, which will affect the feedback between carbon cycle and climate change. In this project, a climate-carbon cycle feedback analysis has been conducted by using long simula
Tillgång till pollinerare är avgörande för produktionen av många grödor. Det är viktigt att känna till olika insektsarters egenskaper och att skapa förutsättningar för en mångfald av pollinerare. Det kan i vissa situationer uppstå risk för konkurrens mellan vilda bin och honungsbin.
In certain cases analytical derivation of physicsbased models of robots is difficult or even impossible. A potential workaround is the approximation of robot models fromsensor data-streams employing machine learning approaches.In this paper, the inverse dynamics models are learned byemploying a learning algorithm, introduced in [1], which isbased on reservoir computing in conjunction with self-org
The unique properties of metallic nanostructures of coinage metals that can sustain localized surface plasmon resonances (LSPR) put them at the centre of plasmon-enhanced phenomena. The theory of plasmonic phenomena based on LSPR is well-established. However, the fabrication of plasmonic substrates, reproducibly, is still challenging for applications in surface-enhanced Raman scattering (SERS) and
One-dimensional iron oxide materials fabricated on conducting glass substrates and their unique properties make these nanostructures promising candidates for a wide range of applications. Herein, vertically oriented α-Fe2O3 nanorod arrays synthesized under hydrothermal conditions over a large area are described, as an active platform for surface-enhanced resonance Raman scattering (SERRS) and surf
Two-photon excitation laser induced fluorescence (2p-LIF) is used here for imaging an optically dense atomizing spray. The main advantage of the approach is that very little fluorescence interference originating from multiple light scattering is generated. This leads to high image contrast and a faithful description of the imaged fluid structures. While point measurement 2p-LIF imaging is a well-k
This degree project aims to develop standard methods for determination of the size distribution in different samples using laser diffraction, as well as to create methodologies for development of new methods for unknown samples. The size distribution is crucial to understand for pharmaceutical products since it affects properties such as the stability and bioavailability of the product. A way to
