1,720,983 research outputs found
Verification of Robotic Surgery Tasks by Reachability Analysis: A Comparison of Tools
No full textIn this paper we discuss the application of formal methods for the verification of properties of control systems designed for autonomous robotic systems. We illustrate our proposal in the context of surgery by considering the automatic execution of a simple action such as puncturing. To prove that a sequence of subtasks planned on pre-operative data can successfully accomplish the surgical operation despite model uncertainties, we specify the problem by using hybrid automata. We express the requirements of interest as questions about reachability properties of the hybrid automaton model. Then, we compare the different performance of current state-of-the art tools for reachability analysis of hybrid automata
Electricity network constraint management using individualised demand aware price policies
Full text linkElectric Distribution Network constraint management is employed by Distribution System Operators in order to keep inside desired safety bounds the aggregated power demand at each network substation. In our context, such aggregated power demand is due to residential users requiring electricity to the substation they are connected to. This enables saving in substation maintenance and energy peak production, as users typically tend to use little energy for most of the day, except for demand peaks, especially during evenings. The main workhorse to obtain such a goal is Demand Side Management, that is, trying to change the users demand in order to meet aggregated demand safety bounds. In this short paper, we introduce the problem and briefly review our recent approach to perform Demand Side Management for Electric Distribution Network constraint management, based on a network state estimator and a Model Predictive Control scheme. We also show experimental results on large scenarios using a real Electric Distribution Network in Denmark
Optimal fault-tolerant relay node positioning in critical wireless networks via artificial intelligence
Full text linkRadio communication networks in critical infrastructures like airports are often mission-critical, and must be adequately protected from external electromagnetic interference and attacks. Given the long distances involved and the need to use low-powered WiFi signals, intermediate relay nodes must be deployed on the field to ensure multi-hop reliable communication, also guaranteeing a sufficient degree of fault-tolerance. In this short paper, we introduce the problem and briefly review our recent approach to automatically synthesise a cost-optimal fault-tolerant relay network. Differently from ad-hoc or heuristic approaches, our tool-chain is entirely based on off-the-shelf Artificial Intelligence general-purpose reasoners, namely MILP, PB-SAT, and SMT/OMT solvers. We also show experimental results on large scenarios from the Leonardo da Vinci Airport in Rome, Italy
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
A Fixed-point Model-checker for BDI Logics over Finite-state Worlds
No full textBDI agents are among the most widely studied models of rational agents. In this architecture, systems are seen as rational agents with certain mental attitudes such as belief, desire, and intention. In this paper, we consider the
model-checking problem for CTL_BDI, the branching-time logic CTL augmented with the BDI modalities, over finite-state structures, and in particular, a proof-ofconcept tool that is based on a translation to a formula in a fixed-point logic. We give a description of this tool in some details and also discuss some preliminary evaluations
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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