95 research outputs found
Spamming the code offset method
We identify an inconsistency in Subjective Logic caused by the discounting operator ‘...’. We propose a new operator, ‘...’, which resolves all the consistency problems. The new algebra makes it possible to compute Subjective Logic trust values (reputations) in arbitrarily connected trust networks. The material presented here is an excerpt of [3]
Fingerprint template protection using minutia-pair spectral representations
Storage of biometric data requires some form of template protection in order
to preserve the privacy of people enrolled in a biometric database. One
approach is to use a Helper Data System. Here it is necessary to transform the
raw biometric measurement into a fixed-length representation. In this paper we
extend the spectral function approach of Stanko and Skoric [WIFS2017], which
provides such a fixed-length representation for fingerprints. First, we
introduce a new spectral function that captures different information from the
minutia orientations. It is complementary to the original spectral function,
and we use both of them to extract information from a fingerprint image.
Second, we construct a helper data system consisting of zero-leakage
quantisation followed by the Code Offset Method. We show empirical data which
demonstrates that applying our helper data system causes only a small
performance penalty compared to fingerprint authentication based on the
unprotected spectral functions
Figshare: A universal repository for academic resource sharing?
Purpose A number of subject-orientated and general websites have emerged to host academic resources. It is important to evaluate the uptake of such services in order to decide which depositing strategies are effective and should be encouraged. Design/methodology/approach This article evaluates the views and shares of resources in the generic repository Figshare by subject category and resource type. Findings Figshare use and common resource types vary substantially by subject category but resources can be highly viewed even in subjects with few members. Subject areas with more resources deposited do not tend to have higher viewing or sharing statistics. Practical implications Limited uptake of Figshare within a subject area should not be a barrier to its use. Several highly successful innovative uses for Figshare show that it can reach beyond a purely academic audience. Originality/value This is the first analysis of the uptake and use of a generic academic resource sharing repository
Atomic Clock Backup Power System
Tato práce se zabývá návrhem systému pro zálohováné napájení atomových hodin a pro monitorování stavu použitých akumulátorů. Zařízení zkonstruované jako součást práce rovněž umožňuje detekci výpadků napájení. Stavy systému dokáže zařízení hlásit pomocí sítě GSM, jak automaticky, tak na vyžádání.This work focuses on the design of a system for power backup of atomic clock and for the continuous monitoring of the current state of the batteries used in such a setup. The device built as a part of this work also enables the detection of power outages. System states can also be reported over the GSM network, both automatically and on-demand
Relatório de Estágio na Inficon AG e na PT Inovação & Sistemas
This document focuses the projects developed during two independent internships, which
were carried out at Inficon AG and PT Inovação & Sistemas. Since the research areas
of both internships are unrelated, individual abstracts are presented
Inclusiveness Matters: A Large-Scale Analysis of User Feedback
In an era of rapidly expanding software usage, catering to the diverse needs
of users from various backgrounds has become a critical challenge.
Inclusiveness, representing a core human value, is frequently overlooked during
software development, leading to user dissatisfaction. Users often engage in
discourse on online platforms where they indicate their concerns. In this
study, we leverage user feedback from three popular online sources, Reddit,
Google Play Store, and Twitter, for 50 of the most popular apps in the world to
reveal the inclusiveness-related concerns from end users. Using a
Socio-Technical Grounded Theory approach, we analyzed 23,107 posts across the
three sources and identified 1,211 inclusiveness related posts. We organize our
empirical results in a taxonomy for inclusiveness comprising 6 major
categories: Fairness, Technology, Privacy, Demography, Usability, and Other
Human Values. To explore automated support to identifying inclusiveness-related
posts, we experimented with five state-of-the-art pre-trained large language
models (LLMs) and found that these models' effectiveness is high and yet varied
depending on the data source. GPT-2 performed best on Reddit, BERT on the
Google Play Store, and BART on Twitter. Our study provides an in-depth view of
inclusiveness-related user feedback from most popular apps and online sources.
We provide implications and recommendations that can be used to bridge the gap
between user expectations and software so that software developers can resonate
with the varied and evolving needs of the wide spectrum of users
Generating personalised service recommendations
In the context of service-oriented computing, the issue of service selection is an important one: how can a consumer find and choose a single, appropriate service of the required type, given the mass of services potentially available on a network? By using a service discovery mechanism (the focus of current service selection research), a consumer is able to obtain an unordered list of services which match explicitly specified requirements, from which he must select the service he considers most appropriate. However, formulating the original service request and selecting a service from the returned list are both challenging tasks, particularly for a consumer in unknown circumstances, with unknown services available. This research is thus concerned with the investigation, development and evaluation of a general design for a system that can provide a personalised service recommendation of appropriate services to a requesting consumer. The personalised service recommendation is generated through the assessment of past service selections/usage. A design-adhering prototype has been demonstrated to generate effective personalised service recommendations in a real-world scenario
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