Analysis of Local Search Methods for 3D Data

In questa tesi sono stati analizzati alcuni metodi di ricerca per dati 3D. Viene illustrata una panoramica generale sul campo della Computer Vision, sullo stato dell’arte dei sensori per l’acquisizione e su alcuni dei formati utilizzati per la descrizione di dati 3D. In seguito è stato fatto un approfondimento sulla 3D Object Recognition dove, oltre ad essere descritto l’intero processo di matching tra Local Features, è stata fatta una focalizzazione sulla fase di detection dei punti salienti. In particolare è stato analizzato un Learned Keypoint detector, basato su tecniche di apprendimento di machine learning. Quest ultimo viene illustrato con l’implementazione di due algoritmi di ricerca di vicini: uno esauriente (K-d tree) e uno approssimato (Radial Search). Sono state riportate infine alcune valutazioni sperimentali in termini di efficienza e velocità del detector implementato con diversi metodi di ricerca, mostrando l’effettivo miglioramento di performance senza una considerabile perdita di accuratezza con la ricerca approssimata.

Search Based Clustering for Protecting Software with Diversified Updates

Reverse engineering is usually the stepping stone of a variety of at-tacks aiming at identifying sensitive information (keys, credentials, data, algo-rithms) or vulnerabilities and flaws for broader exploitation. Software applica-tions are usually deployed as identical binary code installed on millions of com-puters, enabling an adversary to develop a generic reverse-engineering strategy that, if working on one code instance, could be applied to crack all the other in-stances. A solution to mitigate this problem is represented by Software Diversity, which aims at creating several structurally different (but functionally equivalent) binary code versions out of the same source code, so that even if a successful attack can be elaborated for one version, it should not work on a diversified ver-sion. In this paper, we address the problem of maximizing software diversity from a search-based optimization point of view. The program to protect is subject to a catalogue of transformations to generate many candidate versions. The problem of selecting the subset of most diversified versions to be deployed is formulated as an optimisation problem, that we tackle with different search heuristics. We show the applicability of this approach on some popular Android apps.

The Search for the Operatic: Bridging the Gap Between the Spectatorial and Performer Positions Through Sketch-making and Embodiment Techniques

The exhibition was of sketches and a photograph from my PhD practice research. The practice-research was comprised of observing opera singers in rehearsal and sketching them as they moved. As well as records of body position, and to some degree dynamic flow, the exhibited sketches were regarded as kinaesthetic responses in and of themselves – responses to the environment of the rehearsal, in particular responding to the sounds of the orchestra. These sketches were, in part, generated through an embodiment of the music, which was occurring in the same moment as the singer was engaged in embodying the music. These sketches were then used as tools that therefore contained kinaesthetic information which could be unlocked through a process of Butoh derived embodiment techniques alongside reference to the sketched image. This ultimately allowed me to move from a spectatorial position to a performance maker position, bringing a sense of the operatic into the non-singing body, whether that was my own or the bodies of other performers. In this way, and combined with rigorous observation of the corporeal restrictions of singing operatically, choreographies were created that employed operatic ways of moving in non-singing bodies and the operatic was extracted from opera and employed in movement based practice. The aspect of the practice-research exhibited is the correspondence between sketched documentation of the singers in rehearsal and photographic documentation of the dancer (researcher) in performance.

A science-oriented search engine could solve web problems

Lawrence and Giles [1] eloquently define the current problems with the World-Wide Web, but could "Nature" provide the solution ?

Contextual text mining

With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the author(s) of a biomedical publication, or implicit, such as the positive or negative sentiment that an author had when she wrote a product review; there may also be complex context such as the social network of the authors. Many applications require analysis of topic patterns over different contexts. For instance, analysis of search logs in the context of the user can reveal how we can improve the quality of a search engine by optimizing the search results according to particular users; analysis of customer reviews in the context of positive and negative sentiments can help the user summarize public opinions about a product; analysis of blogs or scientific publications in the context of a social network can facilitate discovery of more meaningful topical communities. Since context information significantly affects the choices of topics and language made by authors, in general, it is very important to incorporate it into analyzing and mining text data. In general, modeling the context in text, discovering contextual patterns of language units and topics from text, a general task which we refer to as Contextual Text Mining, has widespread applications in text mining. In this thesis, we provide a novel and systematic study of contextual text mining, which is a new paradigm of text mining treating context information as the ``first-class citizen.'' We formally define the problem of contextual text mining and its basic tasks, and propose a general framework for contextual text mining based on generative modeling of text. This conceptual framework provides general guidance on text mining problems with context information and can be instantiated into many real tasks, including the general problem of contextual topic analysis. We formally present a functional framework for contextual topic analysis, with a general contextual topic model and its various versions, which can effectively solve the text mining problems in a lot of real world applications. We further introduce general components of contextual topic analysis, by adding priors to contextual topic models to incorporate prior knowledge, regularizing contextual topic models with dependency structure of context, and postprocessing contextual patterns to extract refined patterns. The refinements on the general contextual topic model naturally lead to a variety of probabilistic models which incorporate different types of context and various assumptions and constraints. These special versions of the contextual topic model are proved effective in a variety of real applications involving topics and explicit contexts, implicit contexts, and complex contexts. We then introduce a postprocessing procedure for contextual patterns, by generating meaningful labels for multinomial context models. This method provides a general way to interpret text mining results for real users. By applying contextual text mining in the ``context'' of other text information management tasks, including ad hoc text retrieval and web search, we further prove the effectiveness of contextual text mining techniques in a quantitative way with large scale datasets. The framework of contextual text mining not only unifies many explorations of text analysis with context information, but also opens up many new possibilities for future research directions in text mining.

To be a woman here is to be invisible: in search of the dispossessed femininity in Middle-earth

In my thesis I examine J.R.R. Tolkien’s The Lord of the Rings (1954-55), the fantasy epic written on the basis of a fictional universe created by Tolkien, complete with elves, dwarves and other mystical creatures – with languages, alphabets and grammar created for all. While rich linguistically, Tolkien writes a decidedly male description of his world, often neglecting any acknowledgement of female existence. Tolkien’s monolithic stature amongst other fantasy authors made me conduct a feminist reading of The Lord of the Rings, with an eye for the way female experience is marginalized to the point of omission. Tolkien’s linguistic accomplishments have overshadowed the illogical aspects of his work, namely the omission of genders, societal classes and features of society necessary for the fictional universe to retain its cohesion. This cohesion suffers from a totally male experience in the novel which is willfully blind to these features I listed. My theoretical framework is built on ideas in Toril Moi’s Sex, Gender and the Body (2005) and bell hook’s Feminism is For Everybody (2000). Michel Foucault’s ideas of power and hidden histories assist in performing a close reading of the source text and interpreting the results. My thesis focuses on the transformation that the values associated with the concept of equality have undergone. This is best illustrated in the treatment of the few female characters in the novel – Galadriel, Éowyn and Arwen – as their beauty and existence interferes with the ordering of the male-dominated world.

A NATURALISTIC COMPUTATIONAL MODEL OF HUMAN BEHAVIOR IN NAVIGATION AND SEARCH TASKS

Planning, navigation, and search are fundamental human cognitive abilities central to spatial problem solving in search and rescue, law enforcement, and military operations. Despite a wealth of literature concerning naturalistic spatial problem solving in animals, literature on naturalistic spatial problem solving in humans is comparatively lacking and generally conducted by separate camps among which there is little crosstalk. Addressing this deficiency will allow us to predict spatial decision making in operational environments, and understand the factors leading to those decisions. The present dissertation is comprised of two related efforts, (1) a set of empirical research studies intended to identify characteristics of planning, execution, and memory in naturalistic spatial problem solving tasks, and (2) a computational modeling effort to develop a model of naturalistic spatial problem solving. The results of the behavioral studies indicate that problem space hierarchical representations are linear in shape, and that human solutions are produced according to multiple optimization criteria. The Mixed Criteria Model presented in this dissertation accounts for global and local human performance in a traditional and naturalistic Traveling Salesman Problem. The results of the empirical and modeling efforts hold implications for basic and applied science in domains such as problem solving, operations research, human-computer interaction, and artificial intelligence.

Stephen Dedalus' Search for Identity in Catholic Ireland

The purpose of my research was to explore the interplay between religion and art in James Joyce’s novel, A PORTRAIT OF THE ARTIST AS A YOUNG MAN. My aim was to trace the development of the protagonist, Stephen Dedalus by analyzing how Catholicsim is an institution that forms him, yet must reject to realize his artistic potential. I researched Joyce’s background to gain an understanding of the exilic experience on the literature. Through the exilic lens, I realized that Catholicism was the predominant influence on Stephen’s need to embark on a self-imposed exile at the end of the novel. Complicating his decision is the fact that he does not stop believing in religious constructs such as heaven and hell. In conclusion I found by following his artistic longing, and turning away from the church he is committing a sin and, as a result, damning his soul.

The use of motivational interviews by nurses to promote health behaviors in adolescents: developing a search strategy for this review

Introduction: The developmental changes during adolescence may affect subsequent risk for diseases and health-related behaviors. Motivational Interview (MI) may be taken as an essential tool in the provision of nursing care to adolescents, being itself a workspace with possible therapeutic effects. At this context, it is important to examine and map the use of MI by nurses in their clinical practice with adolescents to promote health behaviors. Objectives: A scoping review has been undertaking to find out what is the current extent of the use of nurse-led MI; which adolescents were included; in which contexts nurses use MI; which MI techniques/strategies are used and what outcomes have been reported. The first task was to develop a search strategy to identify relevant studies for this review. It is described here the experience in constructing the search strategy review. Methodology: This scoping review will be informed by JBI methodology. An initial search of MEDLINE and CINAHL was undertaken. An analysis of the text words contained in the title and abstract, and of the index terms used to describe the searched articles were retrieved and these were then used to construct a search strategy for use in Medline and Cinahl. Results: Analysis of the text words and the index terms generated 19 keywords: It was identified 5 synonyms for "Adolescents", 12 for "MI" and 2 for "nurse". A new research formula was designed using the text words identified. Adolescen*[Title/Abstract]) OR Younger*[Title/Abstract]) OR Youth*[Title/Abstract]) OR Teen*[Title/Abstract]) OR Adolescent[MeSH Terms])) AND (((((((((((("Motivational interview"[Title/Abstract]) OR "Motivational intervention"[Title/Abstract]) OR "Motivational interviews"[Title/Abstract]) OR "Motivational interventions"[Title/Abstract]) OR "motivational interviewing"[Title/Abstract]) OR "motivational counseling"[Title/Abstract]) OR "motivational support"[Title/Abstract]) OR "Motivational enhancement"[Title/Abstract]) OR "Brief intervention"[Title/Abstract]) OR "Brief interventions"[Title/Abstract]) OR Motivational Interviewing[MeSH Terms]) OR Directive Counseling[MeSH Terms])) AND ((nurs*[Text Word]) OR Nurses[MeSH Terms]). Limiters - Language: English, Portuguese, Spanish. In MEDLINE this research formula generated 125 results. Other 16 databases referenced at the protocol will be searched to identify additional studies. Articles identified from the final search will be assessed for relevance to the review, based on information provided in the title and abstract. The full article will be retrieved for all studies that meet the inclusion criteria of the review. Conclusions: It was presented here the initial results of this search. Next steps of this study will be to develop and refine the search strategy for use in other databases. It is expected that findings from this Scoping Review provide needed information to nurses related to the use of MI to promote health behaviors in adolescents and inform opportunities for future development in nursing practice.