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Delaktighetsforskning och funktionshinder : Kartläggning av kunskapsläge och forskningsbehov med särskilt fokus på teknik- och designperspektiv

Begreppet delaktighet har idag en central roll i styrdokument och forskning inom funktionshinderområdet. Det har en gränsöverskridande karaktär och utgör en mötesplats på tvärs av forskningstraditioner och praktiksammanhang. Samtidigt är det ett komplext begrepp med många innebörder och delkomponenter. Syftet med denna kartläggning är att beskriva och analysera rådande kunskapläge för den forsknin

Information Set Decoding with Soft Information and some cryptographic applications

The class of information set decoding algorithms is the best known way of decoding general codes, i.e. codes that admit no special structure, in the Hamming metric. Stern's algorithm is the origin of the most efficient algorithms in this class. In this paper we consider the same decoding problem but for a channel with soft information. We give a version of Stern's algorithm for a channel with soft

Clothing Insulation Required for Energy Efficiency (IREQee) and Thermal Comfort

Thermal comfort has direction implications for energy efficiency and sustainable development. From a global perspective, about 40% of total primary energy is used in buildings, contributing to more than 30% of CO2 emissions [1]. The fact that the common practices of clothing choices have impact on energy efficiency is ignored [2-3]. This paper analyzed and proposed clothing insulation required for

Constructive friction? Exploring patterns between Educational Research and The Scholarship of Teaching and Learning

While educational research (EdR) and the Scholarship of Teaching and Learning (SoTL) are overlapping fields there remains considerable friction between the two. Shulman, (2011, p. 5), recounts a situation when an EdR colleague accused him “of contributing to the bastardization of the field by encouraging faculty members who were never trained to conduct educational or social science research to en

Industrial Practices in Security Vulnerability Management for IoT Systems – an Interview Study

The area of Internet of Things (IoT) is growing and it affects a large amount of users, which means that security is important. Many parts of IoT systems are built with Open Source Software, for which security vulnerabilities are available. It is important to update the software when vulnerabilities are detected, but it is unclear to what extent this is done in industry today. This study presents

On Lightweight Security for Constrained Environments

The market of connected devices, IoT devices in particular, is hotter than ever. Today, lightweight IoT devices are used in several sectors, such as smart cities, smart homes, healthcare, and the manufacturing industry.IoT solutions help increase productivity by predictive maintenance and resource management in the industry. Devices with voice interfaces are spreading rapidly in the home automatio

On the Suitability of Using SGX for Secure Key Storage in the Cloud

This paper addresses the need for secure storage in virtualized services in the cloud. To this purpose, we evaluate the security properties of Intel's Software Guard Extensions (SGX) technology, which provides hardware protection for general applications, for securing virtual Hardware Security Modules (vHSM). In order for the analysis to be comparable with analyses of physical HSMs, the evaluation

5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications

A key enabler for Industry 4.0 is Fifth Generation Wireless Specifications (5G), within which network slicing is a promising technique to ensure customized quality of service for specific end-user groups in industrial scenarios. Massive Multiple Input Multiple Output (MIMO) plays a significant role in 5G but network slicing for massive MIMO has not yet been addressed. In this paper, we propose a n

Energy-Efficient Stable and Balanced Task Scheduling in Data Centers

It is well known that load balancing in data centers can lead to unnecessary energy usage if all servers are kept active. Usingdynamic server provisioning, the number of servers that serve requests can be reduced by turning off idle servers and thereby savingenergy. However, such a scheme, usually increases the risk of instability of server queues. In this work, we analyze the trade-offbetween ene

Electromagnetic Side-Channel Attack on AES using Low-end Equipment

Side-channel attacks on cryptographic algorithms targets the implementation of the algorithm. Information can leak from the implementation in several different ways and, in this paper, electromagnetic radiation from an FPGA is considered. We examine to which extent key information from an AES implementation can be deduced using a low-end oscilloscope. Moreover, we examine how the antenna's distanc

Effect of Type 2 Diabetes Predisposing Genetic Variants on Colorectal Cancer Risk.

Background: The link between colorectal cancer (CRC) and type 2 diabetes mellitus (T2D) has been extensively studied. Although it is commonly accepted that T2D is a risk factor for CRC, the underlying mechanisms are still poorly understood. Research Design and Methods:Given that the genetic background contributes to both traits, it is conceivable that genetic variants associated with T2D may also

Sparse Localization of Harmonic Audio Sources

In this paper, we propose a novel method for estimating the locations of near- and/or far-field harmonic audio sources impinging on an arbitrary, but calibrated, sensor array. Using a joint pitch and location estimation formed in two steps, we first estimate the fundamental frequencies and complex amplitudes under a sinusoidal model assumption, whereafter the location of each source is found by ut

Risk of thromboembolic diseases in men with prostate cancer: results from the population-based PCBaSe Sweden

Background Cancer is associated with an increased risk of thromboembolic diseases, but data on the association between prostate cancer and thromboembolic diseases are scarce. We investigated the risk of thromboembolic disease in men with prostate cancer who were receiving endocrine treatment, curative treatment, or surveillance. Methods We analysed data from PCBaSe Sweden, a database based on the

Energy-Optimal Data Aggregation and Dissemination for the Internet of Things

Established approaches to data aggregation in wirelesssensor networks (WSNs) do not cover the variety of new usecases developing with the advent of the Internet of Things. In particular,the current push towards fog computing, in which control,computation, and storage are moved to nodes close to the networkedge, induces a need to collect data at multiple sinks, ratherthan the single sink typically

Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth

This paper presents a robust phase-based positioningframework using a massive multiple-input multiple-output(MIMO) system. The phase-based distance estimates of MPCstogether with other parameters are tracked with an ExtendedKalman Filter (EKF), the state dimension of which varies withthe birth-death processes of paths. The iterative maximumlikelihoodestimation algorithm (RIMAX) and the modeling of

Guarding the Guards: Accountable Authorities in VANETs

In this paper we present an approach to gaining increased anonymity from authorities within a VANET. Standardization organizations and researchers working on VANETs recognize privacy as highly important. However, most research focuses on privacy from other vehicles and external attackers, as opposed to privacy from system-administrating authorities. Our proposed solution forces authorities to reso

Genetic variants of filaggrin are associated with occupational dermal exposure and blood DNA alterations in hairdressers

Hairdressers are exposed to high levels of chemicals, including possible carcinogens. For dermal exposure, the skin protects against the uptake of chemicals and the protein filaggrin (encoded by FLG) has a key role in skin barrier function. This study investigated if variants of FLG previously linked to impaired skin barrier function, i.e. null mutations and copy number variation (CNV) alleles (CN

On the Asymptotics of Solving the LWE Problem Using Coded-BKW with Sieving

The Learning with Errors problem (LWE) has become a central topic in recent cryptographic research. In this paper, we present a new solving algorithm combining important ideas from previous work on improving the Blum-Kalai-Wasserman (BKW) algorithm and ideas from sieving in lattices. The new algorithm is analyzed and demonstrates an improved asymptotic performance. For the Regev parameters $q=n^2$