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Improved modelling of atmospheric ammonia over Denmark using the coupled modelling system DAMOS

A local-scale Gaussian dispersion-deposition model (OML-DEP) has been coupled to a regional chemistry-transport model (DEHM with a resolution of approximately 6 km x 6 km over Denmark) in the Danish Ammonia Modelling System, DAMOS. Thereby, it has been possible to model the distribution of ammonia concentrations and depositions on a spatial resolution down to 400 m x 400 m for selected areas in De

Measurement-based evaluation of interlink correlation for indoor multi-user MIMO Channels

Abstract in UndeterminedThe properties of the single-link multiple-input-multiple- output (MIMO) propagation channels have been analyzed in many studies based on extensive propagation measurements. In this letter, we extend the measurement-based analysis to dual-link MIMO propagation channels. Here, we examine interlink correlation by evaluating the correlation of eigenvectors obtained from multip

Variations in tropospheric submicron particle size distributions across the European continent 2008-2009

Cluster analysis of particle number size distributions from background sites across Europe is presented. This generated a total of nine clusters of particle size distributions which could be further combined into two main groups, namely: a south-to-north category (four clusters) and a west-to-east category (five clusters). The first group was identified as most frequently being detected inside and

Analyzing Networks of Issue Reports

Completely analyzed and closed issue reports in software development projects, particularly in the development of safety-critical systems, often carry important information about issue-related change locations. These locations may be in the source code, as well as traces to test cases affected by the issue, and related design and requirements documents. In order to help developers analyze new issu

Numerically Stable Optimization of Polynomial Solvers for Minimal Problems

Numerous geometric problems in computer vision involve the solu- tion of systems of polynomial equations. This is particularly true for so called minimal problems, but also for finding stationary points for overdetermined prob- lems. The state-of-the-art is based on the use of numerical linear algebra on the large but sparse coefficient matrix that represents the original equations multi- plied wi

Optimizing Link Rate Assignment and Transmission Scheduling in WMN through Compatible Set Generation

Radio links in wireless mesh networks (WMN) can select one of several modulation and coding schemes (MCS). A MCS assignment influences links data rates and their mutual interference, and therefore should be optimized. We consider joint optimization of link rate assignment and transmission scheduling in order to maximize the minimal flow in a WMN. One of the main difficulties stems from the require

Visual Cryptography and Obfuscation: A Use-Case for Decrypting and Deobfuscating Information using Augmented Reality

As new technologies emerge such as wearables, it opens up for new challenges, especially related to security and privacy. One such recent technology is smart glasses. The use of glasses introduces security and privacy concerns for the general public but also for the user itself. In this paper we present ongoing theoretical work which focus on privacy of the user during authentication. We propose a

A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization

We present the first method to handle curvature regularity in region-based image segmentation and inpainting that is independent of initialization. To this end we start from a new formulation of length-based optimization schemes, based on surface continuation constraints, and discuss the connections to existing schemes. The formulation is based on a cell complex and considers basic regions and bou

A variational formulation for interpolation of seismic traces with derivative information

We construct a variational formulation for the problem of interpolating seismic data in the case of missing traces. We assume that we have derivative information available at the traces. The variational problem is essentially the minimization of the integral over the smallest eigenvalue of the structure tensor associated with the interpolated data. This has the physical meaning of penalizing the l

Source apportionment of carbonaceous aerosol in southern Sweden

A one-year study was performed at the Vavihill background station in southern Sweden to estimate the anthropogenic contribution to the carbonaceous aerosol. Weekly samples of the particulate matter PM10 were collected on quartz filters, and the amounts of organic carbon, elemental carbon, radiocarbon (C-14) and levoglucosan were measured. This approach enabled source apportionment of the total car

Analysis for Science, Engineering and Beyond : The Tribute Workshop in Honour of Gunnar Sparr held in Lund, May 8-9, 2008

This book project was initiated at The Tribute Workshop in Honour of Gunnar Sparr and the follow-up workshop Inequalities, Interpolation, Non-commutative Analysis, Non-commutative Geometry and Applications, held at the Centre for Mathematical Sciences, Lund University in May and November of 2008. The resulting book is dedicated in celebration of Gunnar Sparr's sixty-fifth anniversary and more th

Contributions of soil moisture interactions to climate change in the tropics in the GLACE–CMIP5 experiment

Contributions of changes in soil moisture to the projected climate change in the tropics at the end of the twenty first century are quantified using the simulations from five different global climate models, which contributed to the GLACE–CMIP5 experiment. “GLACE” refers to the Global Land Atmosphere Coupling Experiment and “CMIP5” to the fifth phase of the Coupled Model Intercomparison Project. T

Constant Mismatch Loss Boundary Circles and Their Application to Optimum State Distribution in Adaptive Matching Networks

An adaptive matching network provides a number of states between which it can be reconfigured. At a certain frequency, the matching network transforms a reference impedance to different impedances for the different states. The circuit will be able to match those impedances perfectly to the reference impedance, and impedances close to those will also be fairly well matched. The matching will, howev

Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns

We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem chemistry transport model, to infer an ensemble of top-down isoprene emission estimates from tropical South America during 2006, using different model configurations and a

Data analysis tools for uncertainty quantification of inverse problems

We present exploratory data analysis methods to assess inversion estimates using examples based on l(2)- and l(1)-regularization. These methods can be used to reveal the presence of systematic errors such as bias and discretization effects, or to validate assumptions made on the statistical model used in the analysis. The methods include bounds on the performance of randomized estimators of a larg

Covariance Propagation and Next Best View Planning for 3D Reconstruction

This paper examines the potential benefits of applying next best view planning to sequential 3D reconstruction from unordered image sequences. A standard sequential structure-and-motion pipeline is extended with active selection of the order in which cameras are resectioned. To this end, approximate covariance propagation is implemented throughout the system, providing running estimates of the unc

Evaluation of selective broadcast algorithms for safety applications in vehicular ad hoc networks

Just as the wireless communication technology develops further to achieve higher performance, new application areas emerge to challenge its limits. Vehicular ad hoc networks are one of these areas; and emergency situation warning is one of their most popular potential applications since traffic safety is a real concern for everyone. Due to the life-critical nature of emergency applications, howeve

Wideband SAW-Less Receiver Front-End with Harmonic Rejection Mixer in 65-nm CMOS

A wideband direct-conversion receiver front-end featuring a new harmonic rejection technique is demonstrated in 65-nm CMOS. The circuit consists of a two-stage low-noise amplifier, the first stage with capacitive feedback, a harmonic rejection mixer using 25% and 50% duty cycle local oscillator signals, and a third-order channel-select filter with configurable bandwidth. The receiver front-end is

Replication of an experiment on linguistic tool support for consolidation of requirements from multiple sources

Large market-driven software companies continuously receive large numbers of requirements and change requests from multiple sources. The task of analyzing those requests against each other and against already analyzed or implemented functionality then recording similarities between them, also called the requirements consolidation task, may be challenging and time consuming. This paper presents a r

Tighter Relaxations for Higher-Order Models based on Generalized Roof Duality

Many problems in computer vision can be turned into a large-scale boolean optimization problem, which is in general NP-hard. In this paper, we further develop one of the most successful approaches, namely roof duality, for approximately solving such problems for higher-order models. Two new methods that can be applied independently or in combination are investigated. The first one is based on cons