5,827 research outputs found
Communication Subsystems for Emerging Wireless Technologies
The paper describes a multi-disciplinary design of modern communication systems. The design starts with the analysis of a system in order to define requirements on its individual components. The design exploits proper models of communication channels to adapt the systems to expected transmission conditions. Input filtering of signals both in the frequency domain and in the spatial domain is ensured by a properly designed antenna. Further signal processing (amplification and further filtering) is done by electronics circuits. Finally, signal processing techniques are applied to yield information about current properties of frequency spectrum and to distribute the transmission over free subcarrier channels
Low-Resolution Fault Localization Using Phasor Measurement Units with Community Detection
A significant portion of the literature on fault localization assumes (more
or less explicitly) that there are sufficient reliable measurements to
guarantee that the system is observable. While several heuristics exist to
break the observability barrier, they mostly rely on recognizing
spatio-temporal patterns, without giving insights on how the performance are
tied with the system features and the sensor deployment. In this paper, we try
to fill this gap and investigate the limitations and performance limits of
fault localization using Phasor Measurement Units (PMUs), in the low
measurements regime, i.e., when the system is unobservable with the
measurements available. Our main contribution is to show how one can leverage
the scarce measurements to localize different type of distribution line faults
(three-phase, single-phase to ground, ...) at the level of sub-graph, rather
than with the resolution of a line. We show that the resolution we obtain is
strongly tied with the graph clustering notion in network science.Comment: Accepted in IEEE SmartGridComm 2018 Conferenc
Spectrum-Based Fault Localization in Model Transformations
Model transformations play a cornerstone role in Model-Driven Engineering (MDE), as they provide the essential
mechanisms for manipulating and transforming models. The correctness of software built using MDE
techniques greatly relies on the correctness of model transformations. However, it is challenging and error
prone to debug them, and the situation gets more critical as the size and complexity of model transformations
grow, where manual debugging is no longer possible.
Spectrum-Based Fault Localization (SBFL) uses the results of test cases and their corresponding code coverage
information to estimate the likelihood of each program component (e.g., statements) of being faulty.
In this article we present an approach to apply SBFL for locating the faulty rules in model transformations.
We evaluate the feasibility and accuracy of the approach by comparing the effectiveness of 18 different stateof-
the-art SBFL techniques at locating faults in model transformations. Evaluation results revealed that the
best techniques, namely Kulcynski2, Mountford, Ochiai, and Zoltar, lead the debugger to inspect a maximum
of three rules to locate the bug in around 74% of the cases. Furthermore, we compare our approach with a
static approach for fault localization in model transformations, observing a clear superiority of the proposed
SBFL-based method.ComisiĂłn Interministerial de Ciencia y TecnologĂa TIN2015-70560-RJunta de AndalucĂa P12-TIC-186
Towards Structural Testing of Superconductor Electronics
Many of the semiconductor technologies are already\ud
facing limitations while new-generation data and\ud
telecommunication systems are implemented. Although in\ud
its infancy, superconductor electronics (SCE) is capable of\ud
handling some of these high-end tasks. We have started a\ud
defect-oriented test methodology for SCE, so that reliable\ud
systems can be implemented in this technology. In this\ud
paper, the details of the study on the Rapid Single-Flux\ud
Quantum (RSFQ) process are presented. We present\ud
common defects in the SCE processes and corresponding\ud
test methodologies to detect them. The (measurement)\ud
results prove that we are able to detect possible random\ud
defects for statistical purposes in yield analysis. This\ud
paper also presents possible test methodologies for RSFQ\ud
circuits based on defect oriented testing (DOT)
Testing a Quantum Computer
The problem of quantum test is formally addressed. The presented method
attempts the quantum role of classical test generation and test set reduction
methods known from standard binary and analog circuits. QuFault, the authors
software package generates test plans for arbitrary quantum circuits using the
very efficient simulator QuIDDPro[1]. The quantum fault table is introduced and
mathematically formalized, and the test generation method explained.Comment: 15 pages, 17 equations, 27 tables, 8 figure
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