1,721,206 research outputs found
Symbolic Optimization of FSM Networks Based on Redundancies Identification and Removal
No full textThis paper presents a binary decision diagram (BDD)-based algorithm for the optimization of the driven machine, 2, of a finite-state machine (FSM) network with cascade connection, 1 2. The technique we propose relies on redundant faults identification and removal. A fault, , located into machine 2, is redundant with respect to the overall network if the driving machine 1 is not able to generate any test sequence for such a fault. When the state transition graph (STG) specifications of the network components are available, the standard way for checking the redundancy condition for the considered fault requires to first construct the product machine 2 2 , where 2 is the faulty FSM, then to connect it to the driving machine, and finally to perform reachability analysis on the composed machine 1 2 2 . Clearly, the size of such machine limits the applicability of the approach above to systems whose components have a few tens of states at most, even when symbolic traversal algorithms are used. Since we are interested in dealing with networks of larger FSM’s (i.e., machines whose STG’s can not be represented explicitly), we propose to use the product automaton = 1 , where 1 is the finite automaton (FA) accepting all the output sequences of 1, and is the FA accepting all the test sequences for fault , instead of machine 1 2 2 . This simplifies sensibly the task of the reachability analysis program, since has considerably less states and less edges than the product machine 2 2 and, thus, the size of the BDD representation of its transition relation is much more easily manageable. In addition, differently from other approaches, automaton 1 is not required to be deterministic and state minimal. This allows us to avoid the application of determinization and state minimization procedures whose complexity is exponential. We present experimental results for examples (i.e., network of interacting controllers) on which existing optimization methods are not applicable, due to the size of the component FSM’s. We also provide a comparison to the data produced by state-of-the-art FSM network optimizers on small benchmarks in order to show the effectiveness of our approach
Process Variation Tolerant Pipeline Design Through a Placement-Aware Multiple Voltage Island Design Style
No full textA common technique to compensate process variation induced performance deviations during post-silicon testing consists of the dynamic adaptation of processor voltage. This however comes at a significant power cost. We envision multi supply voltage design (MSV) as a promising technique to mitigate such power overhead. Voltage islands are widely recognized as the state-of-the-art in MSV design. In this paper, we develop a novel design methodology that leverages voltage islands to compensate process variations through a commercial synthesis flow. Possible violation scenarios of performance requirements in fabricated chips are pre-characterized at design time through statistical static timing analysis. Then, during post-silicon testing the supply voltage of a proper number of voltage islands is raised depending on the actual violation scenario, thus bringing performance back within nominal values. Voltage islands are generated by exploiting cell proximity for minimal perturbation of performance pre-optimized placements
OPTIMIZED TECHNIQUE FOR DNA STRUCTURAL PROPERTIES DISCOVERING
No full textAn automated algorithm is presented to determine the DNA molecule intrinsic curvature profiles and the molecular spatial orientations in Atomic Force Microscope images. The curvature is composed by static and dynamic contributions. The former is the intrinsic curvature, a function of the DNA nucleotide sequence, while the latter is due to thermal fluctuations. This algorithm allows to reconstruct the intrinsic curvature profile excluding the thermal contribution. The DNA intrinsic curvature profile is computed in consequence of the detection of the correct spatial orientation of the molecules on the AFM substrate following the DNA deposition process. To discover the correct molecular orientations, we propose a fast heuristic orientation finding algorithm, that modifies one DNA molecular orientation at a time with linear-time heuristic transitions
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
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