Sökresultat

In this paper, we describe how we use a named entity disambiguation module to merge entities in a question answering system. The question answering system uses a baseline passage retrieval component that extracts paragraphs from the Swedish version of Wikipedia. The passages are indexed and ranked using the Lucene platform. Prior to the indexing, we carried out a recognition and disambiguation of

Video data and the tools for automated analysis have a great potential to be used in road traffic research, particularly road safety. In this project a video dataset is built and made public so that researchers can evaluate their algorithms on it. The dataset focuses on the traffic research applications (data from real research projects) and provides recordings of the traffic scenes, meta-data, ca

High resolution radio based positioning and tracking is a key enabler for new or improved cellular services. In this work, we are aiming to track user movements with accuracy down to centimeters using standard cellular bandwidths of 20-40 MHz. The goal is achieved by using phase information from the multi-path components (MPCs) of the radio channels. First, an extended Kalman filter (EKF) is used

The Type 1 Diabetes Genetics Consortium (T1DGC), funded September 2002, is a collaborative effort to develop resources for the purpose of identifying risk genes for type 1 diabetes. One of the aims is to establish a renewable resource of DNA on 2500 affected sib-pair families. Regional networks have been established and in continental Europe, the European Type 1 Diabetes Genetics Network (ET1DGN)

BACKGROUND: The minor T allele of rs2943641 near the gene encoding for insulin receptor substrate 1 (IRS1) has been associated with decreased risk of type 2 diabetes (T2D) and adiposity in genome-wide association studies. Dietary intake can influence the regulation of IRS1, and studies have indicated sex-specific associations between IRS1 and adiposity. OBJECTIVE: The objective was to examine the

The hypothesis of this thesis is that climate models should take structural vegetation changes that operate on interannual to centennial time scales into account in order to simulate climate change in a more realistic manner. To evaluate this hypothesis, a regional Earth System Model (ESM) has been developed, validated and applied over Europe. The model has enabled the identification of a number o

Climate models provide the means of making projections of the future climate, under assumptions on alternative future land-use changes and greenhouse gas emissions. The basis for such climate projections is discussed in this chapter,´together with the presentation of overall climate scenario results of relevance for agriculture. The focus is on the period until 2050.

A smartphone is a personal device and as such usually hosts multiple public user identities such as a phone number, email address, and Facebook account. As each smartphone has a unique Bluetooth MAC address, Bluetooth discovery can be used in combination with the user registration to a server with a Facebook account. This makes it possible to identify a nearby smartphone related to a given Faceboo

Popular Abstract in Swedish Huvudsyftet med min avhandling är att visa hur klass konstruerades språkligt i Svensk Damtidning i början av 1900-talet. Teoretiskt efterlyser jag en förnyelse av studier av klass, och skriver därmed in mig i de post-marxistiska och feministiska traditionerna. Ett viktigt mål på vägen är också att klarlägga dampressens status som historisk källa, inte minst genom en anaThe aim of my thesis is to demonstrate how class was constructed linguistically in Svensk Damtidning (Swedish Woman's Magazine) at the beginning of the 20th century. Theoretically, I call for a renewal of studies of class, thus joining the traditions of post-marxism and feminism. Research into language and class, strongly coloured by modernism, suggests that from the 19th century onwards people i

In this paper we discuss AI in industrial robotics. In automatic control, computer vision and optimization, ma- chine learning and data mining algorithms are widely used. However, cognition enabling mechanisms, such as high-level logic and symbolic reasoning, are still limited. This is not due to the lack of available algorithms, rather the bottleneck is knowledge representation, acquisition and t

Background: Transient tachypnea of the newborn is characterized by tachypnea and signs of respiratory distress. Transient tachypnea typically appears within the first two hours of life in term and late preterm newborns. Although transient tachypnea of the newborn is usually a self limited condition, it is associated with wheezing syndromes in late childhood. The rationale for the use of epinephrin

Modern hydrological modeling frequently incorporates global remote sensing or reanalysis products for multivariate calibration. Although these datasets significantly contribute to model accuracy, the inherent uncertainties in the datasets and multivariate calibration present challenges in the modeling process. To address this issue, this study introduces an adaptive, process-wise fitting framework

Accurately representing and predicting hydrological processes in terrestrial ecosystems is crucial for understanding the impacts of global environmental change, particularly climate change. This doctoral thesis aims to advance the understanding of vegetation-hydrology interactions and provides new modelling approaches to enhance hydrological prediction abilities. The thesis is grounded in the eval

Background: The Swedish housing stock generally maintains a high standard. However, earlier policies prioritized quantity and rapid housing production targeting a younger population, over policies that require accessible housing design. With an aging population, evidence-based policies supporting ageing in place while managing societal costs are crucial. This thesis aimed to increase the knowledge