1,732 research outputs found
About the kernel of the augmentation of finitely generated Z-modules
Let M be a free finitely generated Z-module with basis B and ΔM the kernel of the homomorphism M→Z which maps B to 1. A basis of ΔM can be easily constructed from the basis B of M. Let further R be a submodule of M such that N = M/R is free. The subject of investigation is the module ΔN = (ΔM + R) / R. We compute the index [N:ΔN] and construct bases of ΔN with the help of a basis of N. Finally, the results are applied to a special class of modules which is connected with the group of cyclotomic units
A gentle transition from Java programming to Web Services using XML-RPC
Exposing students to leading edge vocational areas of relevance such as Web Services can be difficult. We show a lightweight approach by embedding a key component of Web Services within a Level 3 BSc module in Distributed Computing. We present a ready to use collection of lecture slides and student activities based on XML-RPC. In
addition we show that this material addresses the central topics in the context of web services as identified by Draganova (2003)
Supervised ANN vs. unsupervised SOM to classify EEG data for BCI: why can GMDH do better?
Construction of a system for measuring the brain activity (electroencephalogram (EEG)) and recognising thinking patterns comprises significant challenges, in addition to the noise and distortion present in any measuring technique. One of the most major applications of measuring
and understanding EGG is the brain-computer interface (BCI) technology. In this paper, ANNs (feedforward back
-prop and Self Organising Maps) for EEG data classification will be implemented and compared to abductive-based networks, namely GMDH (Group Methods of Data Handling) to show how GMDH can optimally (i.e. noise and accuracy) classify a given set of BCI’s EEG signals. It is shown that GMDH provides such improvements. In this endeavour, EGG classification based on GMDH will be researched for
comprehensible classification without scarifying accuracy.
GMDH is suggested to be used to optimally classify a given
set of BCI’s EEG signals. The other areas related to BCI will
also be addressed yet within the context of this purpose
Nontrivial Galois module structure of cyclotomic fields
We say a tame Galois field extension with Galois group has trivial
Galois module structure if the rings of integers have the property that
\Cal{O}_{L} is a free \Cal{O}_{K}[G]-module. The work of Greither,
Replogle, Rubin, and Srivastav shows that for each algebraic number field other
than the rational numbers there will exist infinitely many primes so that
for each there is a tame Galois field extension of degree so that has
nontrivial Galois module structure. However, the proof does not directly yield
specific primes for a given algebraic number field For any
cyclotomic field we find an explicit so that there is a tame degree
extension with nontrivial Galois module structure
Objects, worlds, and students: virtual interaction in education
The main aim of this study is to form a complete taxonomy of the types of interactions that relate to the use of a virtual world for engaging learning experiences, when blended and hybrid learning methods are to be used. In order to investigate this topic more accurately and effectively, we distinguish four dimensions of interactions based on the context in which these occur, and the involved parts: in-world and in-class, user-to-user and user-to-world interactions. In order to conduct investigation into this topic and form a view of the interactions as clear as possible, we observed a cohort of 15 undergraduate Computer Science students while using an OpenSim-based institutionally hosted virtual world. Moreover, we ran a survey where 50 students were asked to indicate their opinion and feelings about their in-world experience. The results of our study highlight that educators and instructors need to plan their in-world learning activities very carefully and with a focus on interactions if engaging activities are what they want to offer their students. Additionally, it seems that student interactions with the content of the virtual world and the in-class student-to-student interactions, have stronger impact on students’ engagement when hybrid methods are used
Responsibility and non-repudiation in resource-constrained Internet of Things scenarios
The proliferation and popularity of smart
autonomous systems necessitates the development
of methods and models for ensuring the effective
identification of their owners and controllers. The aim
of this paper is to critically discuss the responsibility of
Things and their impact on human affairs. This starts
with an in-depth analysis of IoT Characteristics such
as Autonomy, Ubiquity and Pervasiveness. We argue
that Things governed by a controller should have an
identifiable relationship between the two parties and
that authentication and non-repudiation are essential
characteristics in all IoT scenarios which require
trustworthy communications. However, resources can
be a problem, for instance, many Things are designed
to perform in low-powered hardware. Hence, we also
propose a protocol to demonstrate how we can achieve the
authenticity of participating Things in a connectionless
and resource-constrained environment
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