1,720,960 research outputs found
DAIM: A distributed algorithm for isolating malfunctioning nodes in wireless sensor networks
No full textIt has been identified that as complexity of computing and communication devices increases, fault-tolerance will gain more and more importance. Wireless sensor networks (WSNs) are exceptionally complex distributed systems where a variety of components interact in a complex way and should therefore help narrow down failures and diagnose their causes, as much as possible, with minimal physical access and interactivity. In this paper, we present an algorithm for isolating malfunctioning nodes in WSNs and provide two parallel variants of it: Naïve and Greedy. The algorithm is based on the idea that a covered node can be turned off and that turning off a malfunctioning node causes the WSN to function properly. The experiments we conducted show that the Naïve Approach is very precise in locating malfunctioning nodes whereas the Greedy Approach is very fast in finding a cover free of such nodes. © 2011 Springer-Verlag Berlin Heidelberg
Identifying Failure-Correlated Dependence Chains
No full textCoverage-based fault localization techniques aim at locating faulty code by first identifying the executing program elements that correlate the most with failure. It often happens that the correlation measure of such elements is not high enough to successfully guide the developer to the fault. This shortcoming is likely due to the fact that the covered program elements are simple (e.g., statements, branches, or def-use pairs), and thus, cannot characterize most defects that are typically non trivial. In this work we aim at identifying short dependence chains that are highly correlated with failure, which we term failure correlated dependence chains. For more effective fault localization, both the number and length of these failure correlated chains should be minimal. In addition to considering data and control dependences, we augment each chain by computing a set of predicates involving the source values and target values of its edges. This supplementary state information can potentially help identify failure-correlated chains that are shorter in length and can better assist in locating the faulty code. We used 18 versions of the Siemens test suite to evaluate the effectiveness of our technique in comparison to when statement coverage is used. In our experimental study we empirically quantified the following: How often is our technique successful at identifying chains that are relatively more correlated with failure? Our results were promising as the technique successfully identified more correlated chains in 17 out of 18 versions. © 2011 IEEE
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
State profiling of internal variables
No full textExecution profiles form the basis of many dynamic program analysis techniques developed to solve problems in fields such as software testing, fault localization, and program comprehension. A typical profile comprises information that approximates the execution path of a program, specifically, the frequency of occurrence of program elements that are structural in nature, such as statements, branches, and def-use pairs. It is plausible that some defects might not be characterized by a failing path or a set of structural program elements. In such cases, execution profiles that are based on structural elements would not be of much benefit. We argue for the need to leverage the state of the subject program, i.e., to analyze the values of representative internal variables that approximate the program state. For that purpose we: 1) built a profiling tool that captures the values taken by select variables, 2) devised three metrics to quantify the dissimilarities between our state-based execution profiles, and 3) conducted ten case studies to demonstrate the effectiveness of our tool and metrics. The majority of our case studies (8 out of 10), using all metrics, showed that failing profiles are most dissimilar from passing profiles. © 2014 IEEE
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