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There is a need for efficient techniques to assess abnormalities in the peripheral regions of the lungs, for example, for diagnosis of pulmonary emphysema. Considerable scientific efforts have been directed toward measuring lung morphology by studying recovery of inhaled micron-sized aerosol particles (0.4-1.5 μm). In contrast, it is suggested that the recovery of inhaled airborne nanoparticles ma

Popular Abstract in Swedish Avhandlingen studerar flera olika algoritmiska problem inom grafteori och geometri, applikationerna sträcker sig från kretskortsdesign till matrismultiplikation. Vi börjar med att studera en grafteoretisk modell för det så kallade "firefigher problem". Målet med detta problemet är att rädda så mycket som möjligt av en given area genom att placera ut brandmän på relevaThis thesis studies several different algorithmic problems in graph theory and in geometry. The applications of the problems studied range from circuit design optimization to fast matrix multiplication. First, we study a graph-theoretical model of the so called ''firefighter problem''. The objective is to save as much as possible of an area by appropriately placing firefighters. We provide both n

The emerging concept of cognitive radios offers a way to use the limited radio-spectrum more efficiently by allowing networks and nodes to adaptively vary their parameters. An important element in the successful implementation of cognitive radios is the ability to estimate the varying state of spectrum usage in a wide-band channel quickly and at minimum cost. In this work, we utilize a powerful no

Digital signatures are widely deployed to authenticate the source of incoming information, or to certify data integrity. Common signature verification procedures return a decision (accept/reject) only at the very end of the execution. If interrupted prematurely, however, the verification process cannot infer any meaningful information about the validity of the given signature. We notice that this

‘Killer acquisitions’ are fairly a new phenomenon which stems from a researcher’s study related to concerns from a series of mergers in the pharmaceutical industry (Big Pharma) around 2018. Killer acquisitions occur in the pharmaceutical sector and also in large digital and technological markets occupied by large companies (Big Tech). They are putting themselves into a position of overwhelming mar

Aims: To illuminate patients' experiences of being cared for and nurses' experiences of caring for patients in a multiple-bed hospital room. Background: Many patients and healthcare personnel seem to prefer single-bed hospital rooms. However, certain advantages of multiple-bed hospital rooms (MBRs) have also been described. Method: Eight men and eight women being cared for in a multiple-bedroom

Popular Abstract in English Each year an estimated 530 000 new cases of cervical cancer are diagnosed and more than 275 000 women die from cervical cancer worldwide (2). Cervical cancer is caused by sexually-acquired infections with a subset of human papillomavirus (HPV) (359, 360). HPV is the most common viral infection of the anogenital tract (2). Almost all sexually active individuals will be iHuman papillomaviruses (HPVs) cause almost half of the human cancers that are attributable to viruses. HPV type 16 is the most carcinogenic type among the HPVs and is detected in 50% of all cervical cancers. HPV-16 infects epithelial cells and HPV-16 gene expression is tightly linked to the differentiation stage of the infected cells. Early HPV-16 genes are expressed in basal layers of the epithel

This article presents and discusses data from two research methods on journalism in Afghanistan before the Taliban takeover of power in August 2021. News reports from the time of the intra-Afghan peace talks in September 2020 were analyzed using the Peace Journalism model. These were found to be predominantly War Journalism, leaving audiences cognitively primed for violent conflict responses and l

This paper proposes a means to quantify the aptitude of a dynamic model to be partitioned into weakly coupled submodels. The proposal applies to both linear and nonlinear systems, is largely independent of their scale, and requires information that is easy to provide on the part of the analyst. The presented indices can be exploited in different manners, from easing numerical integration on monoli

This paper describes the design of a power efficient microarchitecture for transient fault detection in chip multiprocessors (CMPs) We introduce a new per-core dynamic voltage and frequency scaling (DVFS) algorithm for our architecture that significantly reduces power dissipation for redundant execution with a minimal performance overhead. Using cycle accurate simulation combined with a simple fir

In this paper we consider the problem of solving geometric reconstruction problems with the L-infinity-norm. Previous work has shown that globally optimal solutions can be computed reliably for a series of such problems. The methods for computing the solutions have relied on the property of quasiconvexity. For quasiconvex problems, checking if there exists a solution below a certain objective valu

In this paper we present a novel algorithm for onboard radial distortion correction for unmanned aerial vehicles (UAVs) equipped with an inertial measurement unit (IMU), that runs in real-time. This approach makes calibration procedures redundant, thus allowing for exchange of optics extemporaneously. By utilizing the IMU data, the cameras can be aligned with the gravity direction. This allows us

During the last decade there has been a surge of smart devices on markets around the world. The latest trend is devices that can be worn, so called wearable devices. As for other mobile devices, effective localization are of great interest for many different applications of these devices. However they are small and usually set a high demand on energy efficiency, which makes traditional localizatio

In this thesis, we presented comparisons with respect to Energy Consumption, bandwidth, the Constraint application protocol (CoAP) transaction time and throughput for four different security protocols. We simulated and implemented the Datagram Transport Layer Protection (DTLS) version 1.2, Transport Layer Protocol (TLS) version 1.2 & 1.3, and Object Protection for Restricted RESTful Environmen

Convolutional neural networks (CNNs) have made rapid progress in the last years and in fields, such as computer vision, they are considered state-of-the-art. However, CNNs are very computationally intensive. This makes them challenging to use in embedded devices such as smartphones, security cameras and cars. This thesis investigates different neural network compression techniques to see which wi