1,721,156 research outputs found
Maritime Avoidance Navigation, Totally Integrated System (MANTIS)
No full textThe principal goal of marine navigation is for a ship to reach a destination point whilst avoiding other ships and keeping clear of non-navigable areas, such as shallow water and land, using Maritime Avoidance Navigation, Totally Integrated System (MANTIS). The functions of MANTIS are (C4): Compilation of navigation information using Data Fusion techniques, where a generic framework is implemented that incorporates stochastic error modelling methods with advance neurofuzzy techniques. A new variant of neurofuzzy network is introduced and appropriately labelled Transparent Reactive Online Neurofuzzy (TRON) network. Co-ordination of global vessel operations is handled automatically using a Vessel Management Expert System (VMES); capable of unambiguously solving complex multiple ship encounter scenarios as part of journey planning and en route collision avoidance. The resulting guidance way-points are efficient and takes into consideration non-navigable areas, collision avoidance regulations, ship characteristics, sea conditions, and sensor measurement accuracy. Control of ship dynamics is performed by an Autopilot for navigation precision employing developed steering and speed guidance laws, and a controller. Confirmation of current and future predicament and the validation of VMES solutions are made simple using an Integrated Display. Simulation results for each aspect of MANTIS exemplify the effectiveness of the complete system at tackling all the problems identified. In particular, the VMES demonstrator software through the functionality of its Graphical User Interface (GUI) makes the validation process intuitive and simple, and instils confidence in the system capabilities.</p
Philippe Lebailly, Thomas Dogot, Pham Van Bien et Tran Tien Khai, La filière rizicole au Sud-Vietnam. Un modèle méthodologique
No full textDufumier Marc. Philippe Lebailly, Thomas Dogot, Pham Van Bien et Tran Tien Khai, La filière rizicole au Sud-Vietnam. Un modèle méthodologique. In: Tiers-Monde, tome 41, n°162, 2000. Mutations de l'agriculture en Asie du Sud-Est, sous la direction de Marc Dufumier. pp. 478-479
XML clustering and its application to XML transformation
No full textThe continuous growth of the XML data poses a great concern in the area of XML data management. The need for processing large amounts of XML data brings complications to many applications, such as information retrieval, data integration and many others.\ud
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One way of simplifying this problem is to break the massive amount of data into smaller groups by application of clustering techniques. However, XML clustering is an intricate task that may involve the processing of both the structure and the content of XML data in order to identify similar XML data.\ud
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This research presents four clustering methods, two methods utilizing the structure of XML documents and the other two utilizing both the structure and the content. The two structural clustering methods have different data models. One is based on a path model and other is based on a tree model. These methods employ rigid similarity measures which aim to identifying corresponding elements between documents with different or similar underlying structure.\ud
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The two clustering methods that utilize both the structural and content information vary in terms of how the structure and content similarity are combined. One clustering method calculates the document similarity by using a linear weighting combination strategy of structure and content similarities. The content similarity in this clustering method is based on a semantic kernel. The other method calculates the distance between documents by a non-linear combination of the structure and content of XML documents using a semantic kernel.\ud
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Empirical analysis shows that the structure-only clustering method based on the tree model is more scalable than the structure-only clustering method based on the path model as the tree similarity measure for the tree model does not need to visit the parents of an element many times. Experimental results also show that the clustering methods perform better with the inclusion of the content information on most test document collections.\ud
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To further the research, the structural clustering method based on tree model is extended and employed in XML transformation. The results from the experiments show that the proposed transformation process is faster than the traditional transformation system that translates and converts the source XML documents sequentially. Also, the schema matching process of XML transformation produces a better matching result in a shorter time
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
Combining structure and content similarities for XML document clustering
No full textThis paper proposes a clustering approach that explores both the content and the structure of XML documents for determining similarity among them. Assuming that the content and the structure of XML documents play different roles and importance depending on the use and purpose of a dataset, the content and structure information of the documents are handled using two different similarity measuring methods. The similarity values produced from these two methods are then combined with weightings to measure the overall document similarity. The effect of structure similarity and content similarity on the clustering solution is thoroughly analysed. The experiments prove that clustering of the text-centric XML documents based on the content-only information produces a better solution in a homogeneous environment, documents that derived from one structural definition; however, in a heterogeneous environment, documents that derived from two or more structural definitions, clustering of the text-centric XML documents produces a better result when the structure and the content similarities of the documents are combined with different strengths.\u
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
Evaluating the Performance of XML Document Clustering by Structure Only
No full textThis paper reports the results and experiments performed on the INEX 2006 Document Mining Challenge Corpus with the PCXSS clustering method. The PCXSS method is a progressive clustering method that computes the similarity between a new XML document and existing clusters by considering the structures within documents. We conducted the clustering task on the INEX and Wikipedia data sets
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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