Filtyp
The study presents a critical analysis of unequal social geographies in the city of Tehran. It aims to identify degrees of access to different aspects of social reproduction with particular attention to the worse-off districts. The issue of unevenness in Tehran has been discussed by Iranian economists and geographers criticizing bad policies, undemocratic state, and corruption. However, political
The purpose of this paper is to study and compare the underpricing and long-term performance of Initial Public Offerings of companies backed by Private Equity-firms to Initial Public Offerings of companies not backed by Private Equity-firms on the Nordic stock exchanges between 2007-2018. The sample consists of 92 companies that have went public on any of the Nordic stock exchanges between 2007-
Problem description: Alfa Laval, a global leader in providing solutions for heat transfer, separation, and fluid handling, seeks to improve production scheduling at their component factory in Lund. They aim to digitalise the process by developing a digital twin (DT), a virtual model of the manufacturing system. The DT will simulate production flow to support decision-making and optimise scheduling
Asymmetrisk flödesfraktionering (AF4) är en separationsteknik som används för att separera större partiklar, såsom lipidnanopartiklar (LNP) eller makromolekylära polymerer. I kombination med småvinkelneutronspridning (SANS) ger detta möjlighet att undersöka partiklarnas inre struktur, istället för att endast mäta partiklarnas allmänna storlek. Att integrera SANS-mätningen som en kontinuerlig mätniAsymmetric flow field flow fractionation (AF4) is a prominent separation technique used to separate larger particles such as lipid nanoparticles or macromolecular polymers. When combined with Small angle neutron scattering (SANS), this provides the possibility to probe the inner structure of the particles, instead of only probing the general size of the particles. However, putting the SANS measure
The complexity of the power grid increases with its continuous expansion and the addition of software controlled applications. These applications can be found in both loads and generators – as well as surveillance units. In most cases strict demands regarding performance and speed has to be fulfilled by the control scripts of these software applications. To develop the control scripts, a user-frie
This master thesis was carried out at the Department of Design Sciences at Lunds Tekniska Högskola. The goal was to investigate and develop one or more solutions for cooling a door intercom device. A door intercom is a standalone voice communication system used mainly in buildings for access control, surveillance or to let residents communicate with visitors at the entrance. At the start of the pr
Progressively stricter pollutant emission targets in international agreements have shifted the focus of combustion research to low carbon fuels. Ammonia is recognized as one of the promising energy vectors for next-generation power production. Due to the low flame speed and high auto-ignition temperature, ammonia is often burned with a high reactivity pilot fuel (e.g. diesel). However, chemical ki
Formal models for the safety validation of autonomous vehicles have become increasingly important. To this end, we present a safety framework for longitudinal automated driving. This framework allows calculating minimum safe inter-vehicular distances for arbitrary ego vehicle control policies. We use this framework to enhance the Responsibility-Sensitive Safety (RSS) model and models based on it,
We present the design, prototype developments and test results of the new time-of-flight detector (ToFD) which is part of the R3B experimental setup at GSI and FAIR, Darmstadt, Germany. The ToFD detector is able to detect heavy-ion residues of all charges at relativistic energies with a relative energy precision σΔE/ΔE of up to 1% and a time precision of up to 14 ps (sigma). Together with an
This paper compiles a roadmap of considerations concerning zero impact, beyond zero (positive) impact of regenerative development of the construction process. This is described from a process point of view considering the whole lifecycle of a building, involved stakeholders, and the necessity of functional ecosystem services. Firstly, a review is made of the basics of regenerative development and
Formal models for the safety validation of autonomous vehicles have become increasingly important. To this end, we present a safety framework for longitudinal automated driving. This framework enables the calculation of minimum safe inter-vehicular distances for arbitrary ego vehicle control policies in a computationally efficient manner. We use this framework to enhance and generalize the Respons
Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have been published. Some of these studies have overlapping aims and some have even been published in the same calendar year. This presents an opportunity to analyze the congruence or divergence of the conclusions in these studi
Droplet microfluidics is a powerful method used to characterize chemical reactions at high throughput. Often detection is performed via in-line optical readout, which puts high demands on the detection system or makes detection of low concentration substrates challenging. Here, we have developed a droplet acoustofluidic chip for time-controlled reactions that can be combined with off-line optical
The numerical simulation of the induction heating process can be computationally expensive, especially if ferromagnetic materials are studied. There are several analytical models that describe the electromagnetic phenomena. However, these are very limited by the geometry of the coil and the workpiece. Thus, the usual method for computing more complex systems is to use the finite element method to
We study an optimal control problem for a simple transportation model on a path graph. We give a closed form solution for the optimal controller, which can also account for planned disturbances using feed-forward. The optimal controller is highly structured, which allows the controller to be implemented using only local communication, conducted through two sweeps through the graph.
The Transformer architecture has been successful across many domains, including natural language processing, computer vision and speech recognition. In keyword spotting, self-attention has primarily been used on top of convolutional or recurrent encoders. We investigate a range of ways to adapt the Transformer architecture to keyword spotting and introduce the Keyword Transformer (KWT), a fully se
While Bayesian Optimization (BO) is a very popular method for optimizing expensive black-box functions, it fails to leverage the experience of domain experts. This causes BO to waste function evaluations on bad design choices (e.g., machine learning hyperparameters) that the expert already knows to work poorly. To address this issue, we introduce Bayesian Optimization with a Prior for the Optimum
