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A Complete Characterization and Solution to the Microphone Position Self-Calibration Problem

This paper presents a complete characterization and solution to microphone position self-calibration problem for time-of-arrival (TOA) measurements. This is the problem of determining the positions of receivers and transmitters given all receiver-transmitter distances. Such calibration problems arise in application such as calibration of radio antenna networks, audio or ultra-sound arrays and WiFi

Time Delay Estimation for TDOA Self-Calibration using Truncated Nuclear Norm Regularization

Measurements with unknown time delays are common in different applications such as microphone array, radio antenna array calibration, where the sources (e.g. sounds) are transmitted in unknown time instants. In this paper, we present a method for estimating unknown time delays from Time-Difference-of-Arrival (TDOA) measurements. We propose a novel rank constraint on a matrix depending on the measu

A Minimal Solution to Relative Pose with Unknown Focal Length and Radial Distortion

In this paper, we study the minimal problem of estimating the essential matrix between two cameras with constant but unknown focal length and radial distortion. This problem is of both theoretical and practical interest and it has not been solved previously. We have derived a fast and stable polynomial solver based on Gr{\"o}bner basis method. This solver enables simultaneous auto-calibration of f

Measuring Bitumen Coverage of Stones using a Turntable and Specular Reflections

The durability of a road is among other factors dependent on the affinity between stones in the top layer and bitumen that holds the stones together. Poor adherence will cause stones to detach from the surface of the road more easily. The rolling bottle method is the standard way to determine the affinity between stones and bitumen. In this test a number of stones covered in bitumen are put in a r

Fluorescence lidar multispectral imaging for historical monuments, the Lateran Baptistery interdisciplinary project

Introduction For the future conservation, restoration and daily maintenance the need for developing non-destructive and in-situ investigations is vital. At Lund University in Sweden an interdisciplinary research project is being held aiming at, with the help of a mobile system of remote fluorescence lidar, survey and study the facades of historic monuments, and to develop the method and its applic

Joint Under and Over Water Calibration of a Swimmer Tracking System

This paper describes a multi-camera system designed for capture and tracking of swimmers both above and below the surface of a pool. To be able to measure the swimmer's position, the cameras need to be accurately calibrated. Images captured below the surface provide a number of challenges, mainly due to refraction and reflection effects at optical media boundaries. We present practical methods for

Network optimization techniques

This chapter is devoted to modeling and optimization techniques applicable to communication network design and planning. The main emphasis is put on the models dealing with optimization of the capacity of network resources and traffic routing that lead to tractable optimization problems. It is a common belief that the right means for such modeling are multicommodity flow networks (MFN). MFN form a

Discrete Optimal View Path Planning

This paper presents a discrete model of a sensor path planning problem, with a long-term planning horizon. The goal is to minimize the covariance of the reconstructed structures while meeting constraints on the length of the traversed path of the sensor. The sensor is restricted to move on a graph representing a discrete set of configurations, and additional constraints can be incorporated by alte

Frequency Estimation Based on Hankel Matrices and the Alternating Direction Method of Multipliers

We develop a parametric high-resolution method for the estimation of the frequency nodes of linear combinations of complex exponentials with exponential damping. We use Kronecker's theorem to formulate the associated nonlinear least squares problem as an optimization problem in the space of vectors generating Hankel matrices of fixed rank. Approximate solutions to this problem are obtained by usin

REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations

The extraction of semantic propositions has proven instrumental in applications like IBM Watson (Ferrucci, 2012) and in Google’s knowledge graph (Singhal, 2012). One of the core components of IBM Watson is the PRISMATIC knowledge base consisting of one billion propositions extracted from the English version of Wikipedia and the New York Times (Fan et al., 2010). However, extracting the proposition

Immigrant men ‘s perceptions and experiences of accompanying their partner for contraceptive counselling provided by midwives in Sweden- a qualitative study

BackgroundMale involvement in maternal health care has proven to be beneficial for improving maternal and child health and is often crucial in areas of family planning and contraceptive use. However, compared to male involvement in maternal health care, male involvement in contraceptive counselling is complex and controversial and thus faces certain challenges. Immigrant men in Sweden are often ac

Same game, different worlds? General conditions, perceived stress, and associations between stress and past season injuries in elite female and male ice hockey players

Background: Ice hockey is played by women and men but the arena they play in may differ substantially. Potential differences in general conditions to play the sport may be associated to perceived stress, which has shown to be related to athletic injury in other sports. Therefore, this study aimed to describe and compare general conditions for playing ice hockey, stress levels, and the association

Millenarianism

Millenarianism has been the subject of vast historical scholarship and debate, where emphasis is often placed on its political, social and cultural manifestations. Drawing onthis research, this article focuses on the theological understandings of millenarianism throughout Christian history. After a brief discussion of the scriptural origins of the idea of a thousand-year reign, an overview will be

Cult Film Atmospheres : Audiences, exhibitors, and live cinema spaces

Kultfilmsevenemang som Den Dåliga Filmfestivalen (Göteborg, 2019 och 2023-2025) och B-Filmsklubben (Malmö) erbjuder unika atmosfärer för publiken som besöker dem. I Malmö och Göteborg anordnar biograferna regelbundet festivaler och fristående visningar av kultfilmer som band andra The Room, Birdemic, och Miami Connection. Kännetecknande för dessa upplevelser är den översvallande atmosfär som skapaCult film events like The Bad Film Festival (Gothenburg, 2019 and 2023-2025) and The B-Film Club (Malmö) offer unique atmospheres to audiences. In the two Swedish cities of Malmö and Gothenburg, exhibitors run regular festivals and standalone screenings of cult films such as The Room, Birdemic, Miami Connection, and others where an effervescent atmosphere is generated, often featuring audience par

Docforia : A Multilayer Document Model

In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimenta

New Empirical Formulation for the Sublimational Breakup of Graupel and Dendritic Snow

Ice fragments are generated by sublimation of ice particles in subsaturated conditions in natural clouds. Conceivably, such sublimational breakup would be expected to cause ice multiplication in natural clouds. Any fragment that survives will grow to become ice precipitation that may sublimate and fragment further. As a first step toward assessing this overlooked process, a formulation is proposed

Deep Reinforcement Learning for Active Human Pose Estimation

Most 3d human pose estimation methods assume that input – be it images of a scene collected from one or several viewpoints, or from a video – is given. Consequently, they focus on estimates leveraging prior knowledge and measurement by fusing information spatially and/or temporally, whenever available. In this paper we address the problem of an active observer with freedom to move and explore the

Embodied Visual Active Learning for Semantic Segmentation

We study the task of embodied visual active learning, where an agent is set to explore a 3d environment with the goal to acquire visual scene understanding by actively selecting views for which to request annotation. While accurate on some benchmarks, today's deep visual recognition pipelines tend to not generalize well in certain real-world scenarios, or for unusual viewpoints. Robotic perception

Toward Effective Collaborations between Regional Climate Modeling and Impacts-Relevant Modeling Studies in Polar Regions

The aim of this workshop was to discuss the needs and challenges in using high-resolution climate model outputs for impacts-relevant modeling. Development of impacts-relevant climate projections in the polar regions requires effective collaboration between regional climate modelers and impacts-relevant modelers in the design stage of high-resolution climate projections for the polar regions.