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Correlation Attacks on Stream Ciphers

Correlation attacks apply mainly to stream ciphers and can be considered as an extension of the idea of distinguishing attacks to collect information on secret key bits. The original correlation attack was proposed by Siegenthaler on nonlinear combination generators. In a nonlinear combination generator, the keystream is generated as the output of a Boolean function with inputs being sequences fro

On Decentralized Cloud Storage Security and an Efficient Post-Quantum Encryption Scheme

In this thesis, we address three main security problems related to cryptography andcloud storage. To tackle the challenge posed by a quantum computer, we needencryption that is resistant to quantum computers. This category of cryptographyis called post-quantum cryptography. In the first paper, we solve a challengein one of the lattice-based cryptographic protocols called Nth-degree Truncatedpolyno

Minimal Solutions to Generalized Three-View Relative Pose Problem

For a generalized (or non-central) camera model, the minimal problem for two views of six points has efficient solvers. However, minimal problems of three views with four points and three views of six lines have not yet been explored and solved, despite the efforts from the computer vision community. This paper develops the formulations of these two minimal problems and shows how state-of-the-art

From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning

We propose an adaptive change point detection method (A-CPD) for machine guided weak label annotation of audio recording segments. The goal is to maximize the amount of information gained about the temporal activations of the target sounds. For each unlabeled audio recording, we use a prediction model to derive a probability curve used to guide annotation. The prediction model is initially pre-tra

Learning Multi-Target TDOA Features for Sound Event Localization and Detection

Sound event localization and detection (SELD) systems using audio recordings from a microphone array rely on spatial cues for determining the location of sound events. As a consequence, the localization performance of such systems is to a large extent determined by the quality of the audio features that are used as inputs to the system. We propose a new feature, based on neural generalized cross-c

Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment

Coherence estimation between speech envelope and electroencephalography (EEG) is a proven method in neural speech tracking. This paper proposes an improved coherence estimation algorithm which utilises phase sensitive multitaper cross-spectral estimation. Estimated EEG coherence differences between attended and ignored speech envelopes for a hearing impaired (HI) population are evaluated and compa

Image Segmentation and Labeling Using Free-Form Semantic Annotation

In this paper we investigate the problem of segmenting images using the information in text annotations. In contrast to the general image understanding problem, this type of annotation guided segmentation is less ill-posed in the sense that for the output there is higher consensus among human annotations. In the paper we present a system based on a combined visual and semantic pipeline. In the vis

From High-Level Task Descriptions to Executable Robot Code

For robots to be productive co-workers in the manufacturing industry, it is necessary that their human colleagues can interact with them and instruct them in a simple manner. The goal of our research is to lower the threshold for humans to instruct manipulation tasks, especially sensorcontrolled assembly. In our previous work we have presented tools for high-level task instruction, while in this p

A database and synthesis of northern peatland soil properties and Holocene carbon and nitrogen accumulation

Here, we present results from the most comprehensive compilation of Holocene peat soil properties with associated carbon and nitrogen accumulation rates for northern peatlands. Our database consists of 268 peat cores from 215 sites located north of 45 degrees N. It encompasses regions within which peat carbon data have only recently become available, such as the West Siberia Lowlands, the Hudson B

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

Continuously indexed Gaussian fields (GFs) are the most important ingredient in spatial statistical modelling and geostatistics. The specification through the covariance function gives an intuitive interpretation of the field properties. On the computational side, GFs are hampered with the big n problem, since the cost of factorizing dense matrices is cubic in the dimension. Although computational

Meteorological, agricultural and socioeconomic drought in the Duhok Governorate, Iraqi Kurdistan

Drought is a recurrent natural hazard that is expected to increase in the future due to anthropogenic climate change. The Middle East region witnessed a drought period between 2007 and 2009 that has been reported to have severe consequences for the population, especially in Syria and Iraq. This study seeks to assess the spatial and temporal characteristics of the drought in the Duhok Governorate i

Groin pain and soccer players: male versus female occurrence.

Groin pain is common in soccer players. Comparison of results from different studies, especially between genders, is difficult as studies use different definitions and data collection procedures. Therefore we conducted a study of both male and female soccer players enabling direct gender comparison.

Enhancement of solid-liquid expression by pulsed electric field pretreatment: Study on potato

The effect of pulsed electric field (PEF) pretreatment on solid-liquid expression from potato tissue was studied on individual parenchyma tissue samples for different PEF intensities, varying deformations and deformation rates. The yield increased with deformation. The yield at constant deformation increased with increased PEF intensity and decreased deformation rates. The compressive force was re

Improving the Detection of Relations Between Objects in an Image Using Textual Semantics

In this article, we describe a system that classifies relations between entities extracted from an image. We started from the idea that we could utilize lexical and semantic information from text associated with the image, such as captions or surrounding text, rather than just the geometric and visual characteristics of the entities found in the image. We collected a corpus of images from Wikipedi

Study of alternative strategies to the task clarification activity of the market-pull product development process model

A very large majority of the current product development process models put forward in textbooks present a homogenous structure, what Ulrich & Eppinger [1] call the market-pull model, presented as a generic one, while other possible product development process models are merely seen as variants. This paper focuses on the task clarification and derived activities (mainly the systematic search f

Autologous haematopoietic stem-cell transplantation versus bortezomib–melphalan–prednisone, with or without bortezomib–lenalidomide–dexamethasone consolidation therapy, and lenalidomide maintenance for newly diagnosed multiple myeloma (EMN02/HO95): a multicentre, randomised, open-label, phase 3 study

Background: The emergence of highly active novel agents has led some to question the role of autologous haematopoietic stem-cell transplantation (HSCT) and subsequent consolidation therapy in newly diagnosed multiple myeloma. We therefore compared autologous HSCT with bortezomib–melphalan–prednisone (VMP) as intensification therapy, and bortezomib–lenalidomide–dexamethasone (VRD) consolidation the