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Dissertations / Theses on the topic 'Discovery'

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Published: 4 June 2021
Last updated: 7 September 2024

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1

Keck, Andrew G. "Electronic discovery." Thesis, Utica College, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10101099.

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Cyber incidents continue to increase across the entire globe. The increase in security threats requires organizations to rethink strategies and policies continually fortifying against known and unknown threats. Cyber incident policies and response plans range from non-existent to hundreds of pages in length. A policy may include sections discussing roles and responsibility, incident detection, escalation, and many additional categories, and often discuss the collection and preservation of forensic evidence. Policies briefly address, in many cases, the proper collection of evidence; however, the written regulation concerning the potential liabilities, the risks associated with current and future litigation, and the legal consequences to a cyber incident remains sparse. The desired outcome of this paper is to enlighten the reader through identification of the risks, the potential pitfalls, and steps to policy development pertaining to the handling of electronic evidence, with a cross examination of overlapping sectors between forensics, electronic discovery, and cyber security.

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2

Firriolo, Marco. "Discovery copy." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8224/.

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3

McCoy, Jan. "Outdoor Discovery." College of Agriculture, University of Arizona (Tucson, AZ), 1989. http://hdl.handle.net/10150/295610.

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4

Wendel, Patrick. "The architecture of discovery net : towards grid-based discovery services." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/7708.

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5

Hildebrandt, Leonore S. "A Small Discovery." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/HildebrandtLS2004.pdf.

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6

Cheng, Peter C.-H. "Modelling scientific discovery." Thesis, Open University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.256257.

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7

Eriksson, Gustav, and Martin Kevin Garcia. "Discovery of Neptune." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230700.

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This project is an analysis of how a planet can be found in space with the aid of mathematics. This is based on the fact that in the 19th century two mathematicians John C. Adams and Urbain Le Verrier both independent of each other found Neptune, the 8th planet in the solar system, by calculating its location based on discrepancies between theoretical and observed longitudes. We recreate Adams’ problem and solve it with numerical analysis to see how one could improve this method of finding a planet using mathematics. We created a model of the solar system using Runge-Kutta 4 (RK4) to solve ODE’s explaining how the planets affect each other. We then created an inverse problem where we pretended that Neptune did not exist and tried to find its position and data using Gauss-Newton’s algorithm. Our method gives a better result than those of Adams, although we use a better start guess for the position of Neptune than he did. The important parameter to find is at what direction to look for the planet, also called the longitude angle. Both Adams and us get close to the correct longitude—Adams’ being 2:5_ off and us within 1_. This is especially interesting since without getting this parameter correct they would never have found the planet at that time.
Detta projekt är en analys om hur en planet kan hittas i rymden med hjälp av matematik. Det är baserat på två matematiker, John C. Adams och Urbain Le Verrier, som på 1800-talet oberoende av varandra hittade Neptunus, den åttonde planeten i solsystemet, genom att approximera dess position baserat på avvikelser mellan teoretiska och observerade longituder. Vi återskapar Adams problem och löser det med numerisk analys för att se hur man kan förbättra metoden att hitta planeter genom matematik. Vi skapade en modell av solsystemet med Runge-Kutta 4 (RK4) för att lösa ODE’s som beskriver hur planeterna påverkar varandra. Sedan skapar vi ett inverterat problem där vi låtsas om att Neptunus inte finns och försöker hitta dess position med Gauss-Newtons algoritm. Vår metod ger ett bättre resultat än Adams, vilket beror på att vi använder en bättre startgissning för Neptunus position. Den viktiga parametern att hitta är vid vilken vinkel man ska kolla efter planeten, även kallat longitudvinkeln. Både Adams och vi kommer nära det riktiga värdet --Adams är 2,5  ifrån och vi är inom 1. Detta är särskilt intressant eftersom de aldrig skulle hittat planeten utan denna parameter.
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8

Taylor, Jonathan Lorin. "Lines of Discovery." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/35461.

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An entry for the World Trade Center Memorial Competition was expanded upon as a study into the nature of design. The project influenced its own evolution and revealed exciting outcomes. The memorial is a reinforced concrete tower with an acrylic water tank at the top. The water tank acts as a prism casting colorful light displays both in the tower and around the site. The tank is also the source for continually falling droplets of water. The drops fall 450 feet through an open chamber to land in a shallow overflowing pool and then wash over a stone sepulcher containing the unidentified remains of victims.
Master of Architecture
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9

Oliveira, Olga Margarida Fajarda. "Network topology discovery." Doctoral thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/18692.

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Doutoramento em Matemática
A monitorização e avaliação do desempenho de uma rede são essenciais para detetar e resolver falhas no seu funcionamento. De modo a conseguir efetuar essa monitorização, e essencial conhecer a topologia da rede, que muitas vezes e desconhecida. Muitas das técnicas usadas para a descoberta da topologia requerem a cooperação de todos os dispositivos de rede, o que devido a questões e políticas de segurança e quase impossível de acontecer. Torna-se assim necessário utilizar técnicas que recolham, passivamente e sem a cooperação de dispositivos intermédios, informação que permita a inferência da topologia da rede. Isto pode ser feito recorrendo a técnicas de tomografia, que usam medições extremo-a-extremo, tais como o atraso sofrido pelos pacotes. Nesta tese usamos métodos de programação linear inteira para resolver o problema de inferir uma topologia de rede usando apenas medições extremo-a-extremo. Apresentamos duas formulações compactas de programação linear inteira mista (MILP) para resolver o problema. Resultados computacionais mostraram que a medida que o número de dispositivos terminais cresce, o tempo que as duas formulações MILP compactas necessitam para resolver o problema, também cresce rapidamente. Consequentemente, elaborámos duas heurísticas com base nos métodos Feasibility Pump e Local ranching. Uma vez que as medidas de atraso têm erros associados, desenvolvemos duas abordagens robustas, um para controlar o número máximo de desvios e outra para reduzir o risco de custo alto. Criámos ainda um sistema que mede os atrasos de pacotes entre computadores de uma rede e apresenta a topologia dessa rede.
Monitoring and evaluating the performance of a network is essential to detect and resolve network failures. In order to achieve this monitoring level, it is essential to know the topology of the network which is often unknown. Many of the techniques used to discover the topology require the cooperation of all network devices, which is almost impossible due to security and policy issues. It is therefore, necessary to use techniques that collect, passively and without the cooperation of intermediate devices, the necessary information to allow the inference of the network topology. This can be done using tomography techniques, which use end-to-end measurements, such as the packet delays. In this thesis, we used some integer linear programming theory and methods to solve the problem of inferring a network topology using only end-to-end measurements. We present two compact mixed integer linear programming (MILP) formulations to solve the problem. Computational results showed that as the number of end-devices grows, the time need by the two compact MILP formulations to solve the problem also grows rapidly. Therefore, we elaborate two heuristics based on the Feasibility Pump and Local Branching method. Since the packet delay measurements have some errors associated, we developed two robust approaches, one to control the maximum number of deviations and the other to reduce the risk of high cost. We also created a system that measures the packet delays between computers on a network and displays the topology of that network.
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Seneviratne, Dilesha Nilakshi. "Patent link discovery." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/131137/1/Dilesha%20Nilakshi%20Seneviratne_Dissanayake%20Wasala%20Mudiyanselage%20Hakmana%20Walawwe_Thesis.pdf.

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Patents contain useful technical information about inventions; however, accessing the knowledge in patents requires considerable effort, which results in an under-usage of patent knowledge. This research investigated the core techniques that are required to create hyperlinks for patents similar to the hyperlinks in the Wikipedia. Such a system can make knowledge captured in patents more accessible to a wide range of patent users including scientific communities. In doing so, a new context matching technique was proposed to improve the accuracy of linking. In general, the research has extended the understanding of linking methods in the patent domain.
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Wuitschik, Georg. "Oxetanes in drug discovery /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17929.

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12

Viswanathan, Murlikrishna. "Towards robust discovery systems." Monash University, School of Computer Science and Software Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/9397.

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13

Heeks, Richard James. "Discovery writing and genre." Thesis, University of Exeter, 2012. http://hdl.handle.net/10871/13802.

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This study approaches ‘discovery writing’ in relation to genre, investigating whether different genres of writing might be associated with different kinds of writing processes. Discovery writing can be thought of as writing to find out what you think, and represents a reversal of the more usual sense that ideas precede writing, or that planning should precede writing. Discovery writing has previously been approached in terms of writers’ orientations, such as whether writers are Planners or Discoverers. This study engages with these previous theories, but places an emphasis on genres of writing, and on textual features, such as how writers write fictional characters, or how writers generate arguments when writing essays. The two main types of writing investigated are fiction writing and academic writing. Particular genres include short stories, crime novels, academic articles, and student essays. 11 writers were interviewed, ranging from professional fiction authors to undergraduate students. Interviews were based on a recent piece of a writer’s own writing. Most of the writers came from a literary background, being either fiction writers or Literature students. Interviews were based on set questions, but also allowed writers to describe their writing largely in their own terms and to describe aspects of their writing that interested them. A key aspect of this approach was that of engaging writers in their own interests, from where interview questions could provide a basis for discussion. Fiction writing seemed characterized by emergent processes, where writers experienced real life events and channelled their experiences and feelings into stories. The writing of characters was often associated with discovery. A key finding for fiction writing was that even writers who planned heavily and identified themselves somewhat as Planners, also tended to discover more about their characters when writing. Academic writing was characterized by difficulty, where discovery was often described in relation to struggling to summarize arguments or with finding key words. A key conclusion from this study is that writers may be Planners or Discoverers by orientation, as previous theory has recognised. However, the things that writers plan and discover, such as plots and characters, also play an important role in their writing processes.
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14

Bright, Kerrin John. "Fragment-based hit discovery." Thesis, University of York, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516627.

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15

Scherrer, Cristina Mabel. "Essays on price discovery." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8673.

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Financial asset prices reflect investor's perspectives over the current and future situation of a firm, an industry, a country and ultimately, the entire economy. For this reason, how financial asset prices are driven has been a fundamental economic question. Specific market characteristics such as the number of sellers and buyers, investors valuation perceptions, market availability of other assets and legal and technical properties are some of the features that affect asset prices. When the same asset is traded at different venues, these specific characteristics may vary, following a certain degree of heterogeneity across buyers and sellers. The direct consequence is that transaction prices of the same asset differ across markets. However, prices will also not drift apart, since arbitrage opportunities would arise, reducing or even eliminating the differences. Prices of similar securities linked to a single latent price, as derivative markets, for instance, present the same behaviour. Price differences among markets observed at high frequencies are an indication that venues incorporate new information in an unlike way. The structure and design of a market impacts its behaviour, liquidity, effciency, and hence how prices are discovered. The task of identifying the leading markets and understanding how the price dynamics occurs are the main objectives of the price discovery analysis. Chapter 1 introduces the research subject of price discovery, motivating the importance of what this thesis proposes and the results and conclusions obtained. Chapter 2 explains in details the main methodologies used to measure price discovery and the important results in the empirical literature. Chapter 3 motivates the data set this thesis uses, with institutional background details and specific market and firm characteristics. We also present in details the steps we follow to deal with standard issues of high frequency data, such as outliers and errors on a tick-by-tick database and non synchronicity of prices at different markets. Chapter 4 extends the standard price discovery model to estimate the information share (IS) accounting for the information content of both common and preferred non US stocks, their American Depositary Receipts (ADRs) counterparts traded on the New York Stock Exchange and ARCA, and the exchange rate. We gauge the significance of price discovery in the home and foreign markets, through common or preferred stocks. One of the main critiques on the IS methodology is that it does not deliver a single measure when there is contemporaneous correlation among markets. We propose an ordering invariant methodology that delivers a single measure of IS.We find that the foreign market is more important than the home market for the price discovery of Petrobras, the Brazilian stated-owned oil giant, and Vale, one of the largest mining companies in the world. Additionally, the Brazilian market has lost significant importance after the 2008/2009 financial crisis. During this period, common and preferred stocks shared a single common factor, with voting premium being a stationary process. Chapter 5 investigates instantaneous and long-run linkages between common and preferred shares traded at both domestic and foreign markets. We develop a market microstructure model in which the dynamics of the different share prices react to three common factors, namely, the efficient price, the efficient exchange rate, and the efficient voting premium. We show how to identify the structural innovations so as to differentiate instantaneous and long-run effects. First, we obtain dynamic measures of price discovery that quantify how prices traded at different venues respond to shocks on the common factors. Second, we are able to test whether shocks in the efficient exchange rate change the value of the firm. Third, we test whether shocks on the efficient voting premium have a permanent effect on preferred shares. We implement an empirical application using high-frequency data on six Brazilian large companies. We find that, in the long-run, a depreciation of the Brazilian currency leads to a depreciation of the value of the firm that exceeds the expected arbitrage adjustment. In addition, a positive shock on the voting premium yields a positive impact on the value of the firm. Our price discovery analysis also reveals that one trading day suffices to impound new information on all share prices, regardless of the venue they trade at. Finally, Chapter 6 concludes.
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16

Zeidan, Bashar. "Breast cancer biomarker discovery." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/360029/.

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Several environmental and genetic factors are involved in breast cancer development and prognosis. It is clear that mortality rate of breast and other cancers increase with advanced clinical and pathological stage. Early detection thus holds the best cure and identification of prospective markers for breast cancer early detection, as well as understanding the mechanisms of its tumourigenesis and metastatic spread are prerequisites for more effective disease management. This report describes our investigations in breast cancer biomarkers discovery. Here, serum samples from healthy volunteers and patients with breast tumours were analysed and compared to reveal diagnostic and prognostic breast cancer biomarkers. Biobanks hold a large number of samples that could provide statistically powerful cohorts with a wealth of lengthy follow up data; useful for pre disease / treatment biomarker discovery. However, ambiguous handling standards and source variability have limited their analysis. Conducting a two centre study, we illustrated that archival serum samples can be reliably analysed with high reproducibility. This highlights the utility of such samples for validation of markers discovered in recent studies. In addition, these samples could select for "real world" biologically stable marker entities. This work suggested that this is a potentially useful proteomic arena; however the corner stone for any future archival discovery projects remains dependent on multi centre immunovalidation. Breast cancer biomarkers including ER/PR and HER2 status; have led to targeted patient stratification and therapy. A more complex molecular sub classification could explain the different outcome within the disease sub groups. However, clinically reliable early detection and markers remain missing . Here, we investigated differentially expressed serum markers between non metastatic breast cancer, benign breast disease and healthy volunteers. Three validated candidate biomarkers (ANX A3, Apo Cl and a 6.4kDa biomarker) differentiating the three groups. Such breast cancer markers can be used as adjuncts to mammography. Further validation of these markers is ongoing and will be followed by elucidation of potential related molecular pathways. Finally, using a novel proteomic profiling platform, we identified and validated three prediction markers of post treatment outcome in early onset breast cancer. Here, ANX A2, Apo Cl and NOS2 were confirmed as serum prognosticators, and further validation and elucidation of their biological role in the disease holds promise for improved and personalised treatment regimes.
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17

Buettner-Graefenhain, Christine. "Discovery Food - Culinary Architecture." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/32579.

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What keeps places unique in times of globalization? If information, goods, food, architecture are the same everywhere, what`s the difference between places? What are people identifying with? Eating habits are a main factor of cultural identification. How can architecture contribute to these feelings of belonging, self awareness and joy? How can it teach something about the place and the people living there? What if a new kind of culinary architecture can help opening people`s eyes towards their own eating culture? What if they would learn rediscovering and appreciating its richness there? The American mixture can be seen as a micro cosmos of the whole world under ongoing globalization. Since the U.S. is a very progressive country, I claim that studying their experiences can help us understand future trends of our global culture. Learning from their problems will help understand or even avoid the same problems elsewhere. One of the American challenges is obesity. Researchers expect U.S. life expectancy to fall dramatically in coming years because of obesity. This would be a startling shift in a long-running trend toward longer lives. What is American? How can the American culture be captured? How do Americans identify themselves? They are part of a blend of virtually every culture on this earth. Idealistically, nobody can be a stranger because everybody is. They have one thing in common: their ancestor`s or even their own history of dissatisfaction, hope, journey, arrival and good or bad luck in the new homeland.
Master of Architecture
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18

Vilo, Jaak. "Pattern discovery from biosequences." Helsinki : University of Helsinki, 2002. http://ethesis.helsinki.fi/julkaisut/mat/tieto/vk/vilo/.

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19

Murty, Paul. "Discovery processes in designing." Thesis, The University of Sydney, 2006. http://hdl.handle.net/2123/1809.

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This thesis describes an interview study of forty five professionally accomplished male and female designers and architects. The study considers how each respondent designs and makes discoveries throughout conceptual design. How they start designing, what they attempt to achieve, the means they employ, how they cope with getting stuck, their breakthroughs and discoveries and the circumstances of these experiences, are the main ingredients of the study. The aim of the research is to estimate the extent to which designing may be regarded as an insightful activity, by investigating experiences of discoveries as reported by the respondents. Throughout the thesis, discoveries or ideas occurring to respondents when they are not actively designing, an apparent outcome of a latent designing or preparation activity, are referred to as cold discoveries. This label is used to distinguish these discoveries from discoveries that emerge in the run of play, when individuals are actively designing. The latter are referred to as hot discoveries. The relative insightfulness of hot and cold discoveries is also investigated. In general, the evidence from the research suggests that designing is significantly insightful. Most respondents (39:45) reported experiences of insights that have contributed to their designing. In addition there is strong evidence that cold discoveries are considerably more important, both quantitatively and qualitatively, than is currently recognized. More than half of the respondents (25:45) reported the experience of cold discoveries, many after disengaging from designing, when they had been stuck. Being stuck means they were experiencing frustration, or had recognised they were not making satisfactory progress in attempts to resolve some aspect of conceptual design. Typically these respondents reported experiencing discoveries while doing other work, performing some physical activity, resting, or very soon after resuming work. They had elected to let ideas come to them, rather than persist in searching and this strategy was successful. Moreover, many respondents (10:45) described positive attributes of cold discoveries using terms such as stronger, more potent, or pushes boundaries, which suggest their cold discoveries are more insightful than their hot discoveries. Many respondents associated their cold discoveries with mental activities such as incubation, a concept identified by Gestalt theorists nearly a century ago. They used a range of informal terms, such as ideas ticking over, or percolating away. These apparently uncontrolled mental experiences, which I refer to generically as latent preparation, varied from one respondent to another in when, where and how they occurred. Latent preparation or its outcomes, in the form of interruptive thoughts, apparently takes place at any time and during different states of consciousness and attentiveness. It appears to be, at different times, unplanned, unintentional, undirected, unnoticed, or unconscious, in combinations, not necessarily all at once. It is clearly not only an unconscious process. This suggests one, or more of the following; 1) that incubation is only a component of latent preparation, or 2) that the conventional view of incubation, as an unconscious process, does not adequately account for the range of insightful experiences of mentally productive people, such as designers, or 3) that the old issue of whether incubation is a conscious, or an unconscious process, is not vital to a systematic investigation of insightful discovery. The thesis concludes by considering prospects for further research and how the research outcomes could influence education. Apart from the findings already described, statements by the respondents about personal attributes, designing, coping with being stuck and discoveries, were wide ranging, resourceful and down-to-earth, suggesting there are many ways for individuals to become proficient, creative designers at the high end of their profession. A major implication for future research is that latent preparation may be found as readily among highly motivated and skilled individuals in other occupations unrelated to architecture or designing. The evidence of the research so far suggests there is much to be learned about latent preparation that can be usefully applied, for the benefit of individuals aiming to be designers, or simply wanting to become more adept at intervening, transforming and managing unexpected and novel situations of any kind.
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Murty, Paul. "Discovery processes in designing." Connect to full text, 2006. http://hdl.handle.net/2123/1809.

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PhD
This thesis describes an interview study of forty five professionally accomplished male and female designers and architects. The study considers how each respondent designs and makes discoveries throughout conceptual design. How they start designing, what they attempt to achieve, the means they employ, how they cope with getting stuck, their breakthroughs and discoveries and the circumstances of these experiences, are the main ingredients of the study. The aim of the research is to estimate the extent to which designing may be regarded as an insightful activity, by investigating experiences of discoveries as reported by the respondents. Throughout the thesis, discoveries or ideas occurring to respondents when they are not actively designing, an apparent outcome of a latent designing or preparation activity, are referred to as cold discoveries. This label is used to distinguish these discoveries from discoveries that emerge in the run of play, when individuals are actively designing. The latter are referred to as hot discoveries. The relative insightfulness of hot and cold discoveries is also investigated. In general, the evidence from the research suggests that designing is significantly insightful. Most respondents (39:45) reported experiences of insights that have contributed to their designing. In addition there is strong evidence that cold discoveries are considerably more important, both quantitatively and qualitatively, than is currently recognized. More than half of the respondents (25:45) reported the experience of cold discoveries, many after disengaging from designing, when they had been stuck. Being stuck means they were experiencing frustration, or had recognised they were not making satisfactory progress in attempts to resolve some aspect of conceptual design. Typically these respondents reported experiencing discoveries while doing other work, performing some physical activity, resting, or very soon after resuming work. They had elected to let ideas come to them, rather than persist in searching and this strategy was successful. Moreover, many respondents (10:45) described positive attributes of cold discoveries using terms such as stronger, more potent, or pushes boundaries, which suggest their cold discoveries are more insightful than their hot discoveries. Many respondents associated their cold discoveries with mental activities such as incubation, a concept identified by Gestalt theorists nearly a century ago. They used a range of informal terms, such as ideas ticking over, or percolating away. These apparently uncontrolled mental experiences, which I refer to generically as latent preparation, varied from one respondent to another in when, where and how they occurred. Latent preparation or its outcomes, in the form of interruptive thoughts, apparently takes place at any time and during different states of consciousness and attentiveness. It appears to be, at different times, unplanned, unintentional, undirected, unnoticed, or unconscious, in combinations, not necessarily all at once. It is clearly not only an unconscious process. This suggests one, or more of the following; 1) that incubation is only a component of latent preparation, or 2) that the conventional view of incubation, as an unconscious process, does not adequately account for the range of insightful experiences of mentally productive people, such as designers, or 3) that the old issue of whether incubation is a conscious, or an unconscious process, is not vital to a systematic investigation of insightful discovery. The thesis concludes by considering prospects for further research and how the research outcomes could influence education. Apart from the findings already described, statements by the respondents about personal attributes, designing, coping with being stuck and discoveries, were wide ranging, resourceful and down-to-earth, suggesting there are many ways for individuals to become proficient, creative designers at the high end of their profession. A major implication for future research is that latent preparation may be found as readily among highly motivated and skilled individuals in other occupations unrelated to architecture or designing. The evidence of the research so far suggests there is much to be learned about latent preparation that can be usefully applied, for the benefit of individuals aiming to be designers, or simply wanting to become more adept at intervening, transforming and managing unexpected and novel situations of any kind.
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21

Furletti, Barbara. "Ontology-driven knowledge discovery." Thesis, IMT Alti Studi Lucca, 2009. http://e-theses.imtlucca.it/22/1/Furletti_phdthesis.pdf.

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The problem of Knowledge Discovery has always attracted many researchers and continues to be of great relevance to the computer science community in the branch of learning. This thesis aims to contribute to this topic, getting hints from the Ontology and Data Mining environments. We investigate a method for extracting new implicit knowledge directly from an ontology by using an inductive/deductive approach. By giving a sort of Bayesian interpretation to relationships that already exist in an ontology, we are able to return the extracted knowledge in form of Influence Rules. The idea is to split the extraction process in two separate phases by exploiting the ontology peculiarity of keeping metadata (the schema) and data (the instances) separate. The deductive process draws inference from the ontology structure, both concepts and properties, by applying link analysis techniques and producing a sort of implications (rules schemas) in which only the most important concepts are involved. Then an inductive process, realized by a data mining algorithm, explores the ontology instances for enriching the implications and building the final rules. A final rule has a form like where premise and consequence refer to the class names, and values to their datatype properties, while w, the weight, measures the strength of the influence. An example of a final rule is: Manager.hasAge < 45 0.80 Ð→ Project.hasDegreeOfSuccess = good. This can be read as, in 80% of the cases, whenever a manager of a company is less then 45 years old, then the project he manages has a good degree of success. xx What we want to prove, besides the correctness and feasibility1 of the project, is that the approach allows us to extract “higher level” rules w.r.t. classical knowledge discovery techniques. In fact, ontology metadata gives a general view of the domain of interest and supplies information about all the elements apart from the fact that they are included as instances in the collected data. The technique is completely general and applicable to each domain. Since the output is a set of “standard” Influence Rules, it can be used to integrate existing knowledge or for supporting any other data mining process. The thesis includes the following chapters: Chapter 1 contains a brief introduction of the work, focusing on the main questions that have to be addressed. Chapter 2 offers an overview of the context of research in which the thesis is part of: data mining and ontologies. Chapter 3 explores the literature dealing with the open questions raised in chapter 1. Chapter 4 is the core section; it discusses the proposed solutions and presents all the phases of the extraction process as well as the algorithms and the proofs. Chapter 5 describes an application of the methodology in the context of MUSING, a European project in the field of business intelligence. Chapter 6 ends this thesis with final considerations and future possible works.
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22

Sen, Sagar. "Automatic effective model discovery." Rennes 1, 2010. http://www.theses.fr/2010REN1S042.

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Les découvertes scientifiques aboutissent souvent à la représentation de structures dans l’environnement sous forme de graphes d’objets. Par exemple, certains réseaux de réactions biologiques visent à représenter les processus vitaux tels que la consommation de gras ou l’activation/désactivation des gênes. L’extraction de connaissances à partir d'expérimentations, l'analyse des données et l’inférence conduisent à la découverte de structures effectives dans la nature. Ce processus de découverte scientifiques peut-il être automatisé au moyen de diverses sources de connaissances? Dans cette thèse, nous abordons la même question dans le contexte contemporain de l'ingénierie dirigée par les modèles (IDM) de systèmes logiciels complexes. L’IDM vise à accélérer la création de logiciels complexes en utilisant de artefacts de base appelés modèles. Tout comme le processus de découverte de structures effectives en science un modeleur crée dans un domaine de modélisation des modèles effectifs, qui représente des artefacts logiciels utiles. Dans cette thèse, nous considérons deux domaines de modélisation: métamodèles pour la modélisation des langages et des feature diagrams pour les lignes de produits (LPL) logiciels. Pouvons-nous automatiser la découverte de modèles effectifs dans un domaine de modélisation? Le principal défi dans la découverte est la génération automatique de modèles. Les modèles sont des graphes d’objets interconnectés avec des contraintes sur leur structure et les données qu'ils contiennent. Ces contraintes sont imposées par un domaine de modélisation et des sources hétérogènes de connaissances, incluant plusieurs règles de bonne formation. Comment pouvons-nous générer automatiquement des modèles qui satisfont ces contraintes? Dans cette thèse, nous présentons un framework dirigé par les modèles pour répondre à cette question. Le framework pour la découverte automatique de modèles utilise des sources hétérogènes de connaissances pour construire, dans un premier temps, un sous-ensemble concis et pertinent d’une spécification du domaine de modélisation appelée domaine de modélisation effectif. Ensuite, il transforme le domaine de modélisation effectif défini dans différents langages vers un problème de satisfaction de contraintes dans le langage de spécification formel Alloy. Enfin, le framework invoque un solveur sur le modèle Alloy pour générer un ou plusieurs modèles effectifs. Nous incorporons le framework dans deux outils: Cartier pour la découverte de modèles a partir de n’importe quel langage de modélisation et Avishkar pour la découverte de produits dans une LPL. Nous validons notre framework par des expérimentations rigoureuses pour la génération de test, la complétion de modèles partiel, la génération de produits, et la génération d’orchestrations web service. Les résultats montrent que notre framework génère systématiquement des solutions effectives dans des domaines de modélisation à partir de cas d’étude significatifs
Scientific discovery often culminates into representing structure in nature as networks (graphs) of objects. For instance, certain biological reaction networks aim to represent living processes such as burning fat or switching genes on/off. Knowledge from experiments, data analysis and mental tacit lead to the discovery of such effective structures in nature. Can this process of scientific discovery using various sources of knowledge be automated? In this thesis, we address the same question in the contemporary context of model-driven engineering (MDE) of complex software systems. MDE aims to grease the wheels of complex software creation using first class artifacts called models. Very much like the process of effective structure discovery in science a modeler creates effective models, representing useful software artifacts, in a modelling domain. In this thesis, we consider two such modelling domains: metamodels for modelling languages and feature diagrams for Software Product Lines (SPLs). Can we automate effective model discovery in a modelling domain? The central challenge in discovery is the automatic generation of models. Models are graphs of inter-connected objects with constraints on their structure and the data contained in them. These constraints are enforced by a modelling domain and heterogeneous sources of knowledge including several well-formedness rules. How can we automatically generate models that simultaneously satisfy these constraints? In this thesis, we present a model-driven framework to answer this question. The framework for automatic model discovery uses heterogeneous sources of knowledge to first setup a concise and relevant subset of a modelling domain specification called the effective modelling domain. Next, it transforms the effective modelling domain defined in possibly different languages to a constraint satisfaction problem in the unique formal specification language Alloy. Finally, the framework invokes a solver on the Alloy model to generate one or more effective models. We embody the framework in two tools: Cartier for model discovery in any modelling language and Avishkar for product discovery in a SPL. We validate our framework through rigorous experiments in test model generation, partial model completion, product generation in SPLs, and generation of web-service orchestrations. The results qualify that our framework consistently generates effective findings in modelling domains from commensurate case studies
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23

Schnejder, Rasmus. "Price discovery i valutamarkedet : en empirisk analyse = Price discovery in the foreign exchanger market /." Aarhus : Institut for Økonomi, Aarhus Universitet, 2009. http://mit.econ.au.dk/Library/Specialer/2009/20040581.pdf.

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24

Schiess, Ralph. "Proteomic strategy for biomarker discovery /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=18097.

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25

Smith, Steven Lee Al-Mahmood Mohammed Abdul latif. "Knowledge discovery using genetic programming /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA276224.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, December 1993.
Thesis advisor(s): B. Ramesh ; William R. Gates. "December 1993." Includes bibliographical references. Also available online.
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26

Saffell, Matthew John. "Knowledge discovery for time series /." Full text open access at:, 2005. http://content.ohsu.edu/u?/etd,247.

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27

Höppner, Frank. "Knowledge discovery from sequential data." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=96728421X.

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28

Sandve, Geir Kjetil. "Motif discovery in biological sequences." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9270.

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This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consists of three main parts. Chapter 2 is a survey of methods for motif discovery in DNA regulatory regions, with a special emphasis on computational models. The survey presents an integrated model of the problem that allows systematic and coherent treatment of the surveyed methods. Chapter 3 presents a new algorithm for composite motif discovery in biological sequences. This algorithm has been used with success for motif discovery in protein sequences, and will in future work be extended on to explore properties of the DNA regulatory mechanism. Finally, chapter 4 describes several current research projects, as well as some more general future directions of research. The research focuses on the development of new algorithms for the discovery of composite motifs in DNA. These algorithms will partly be used for systematic exploration of the DNA regulatory mechanism. An increased understanding of this mechanism may lead to more accurate computational models, and hence more sensitive motif discovery methods.

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29

Meyer, Quinton Christian. "Metagenomic approaches to gene discovery." Thesis, University of the Western Cape, 2006. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7031_1182747173.

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The classical approach to gene discovery has been to culture micro-organisms demonstrating a specific enzyme activity and then to recover the gene of interest through shotgun cloning. The realization that these standard microbiological methods provide limited access to the true microbial biodiversity and therefore the available microbial genetic diversity (collectively termed the Metagenome) has resulted in the development of environmental nucleic acid extraction technologies designed to access this wealth of genetic information, thereby avoiding the limitations of culture dependent genetic exploitation. In this work several gene discovery technologies was employed in an attempt to recover novel bacterial laccase genes (EC 1.10.3.2), a group of enzymes in which considerable biotechnological interest has been expressed. Metagenomic DNA extracted from two organic rich environmental samples was used as the source material for the construction of two genomic DNA libraries. The small insert plasmid based library derived from compost DNA consisted of approximately 106 clones at an average insert size of 2.7Kbp, equivalent to 2.6 Gbp of cloned environmental DNA. A Fosmid based large insert library derived from grape waste DNA consisted of approximately 44000 cfu at an average insert size of 25Kbp (1.1 Gbp cloned DNA). Both libraries were screened for laccase activity but failed to produce novel laccase genes. As an alternative approach, a multicopper oxidase specific PCR detection assay was developed using a laccase positive Streptomyces strain as a model organism. The newly designed primers were used to detect the presence of bacterial multicopper oxidases in environmental samples. This resulted in the identification of nine novel gene fragments showing identity ranging from 37 to 94% to published putative bacterial multicopper oxidase gene sequences. Three clones pMCO6, pMCO8 and pMCO9 were significantly smaller than those typically reported for bacterial laccases and were assigned to a recently described clade of Streptomyces bacterial multicopper oxidases.


Two PCR based techniques were employed to attempt the recovery of flanking regions for two of these genes (pMCO7 and pMCO8). The use of TAIL-PCR resulted in the recovery of 90% of the pMCO7 ORF. As an alternative approach the Vectorette&trade
system was employed to recover the 3&rsquo
downstream region of pMCO8. The complexity of the DNA sample proved to be a considerable technical challenge for the implementation of both these techniques. The feasibility of both these approaches were however demonstrated in principle. Finally, in an attempt to expedite the recovery of fulllength copies of these genes a subtractive hybridization magnetic bead capture technique was adapted and employed to recover a full &ndash
length putative multicopper oxidase gene from a Streptomyces strain in a proof of concept experiment. The StrepA06pMCO gene fragment was used as a &lsquo
driver&rsquo
against fragmented Streptomyces genomic DNA (&lsquo
tester&rsquo
) and resulted in the recovery of a 1215 bp open reading frame. Unexpectedly, this ORF showed only 80% identity to the StrepA06pMCO gene sequence at nucleotide level, and 48% amino acid identity to a putative mco gene derived from a Norcardioides sp JS614.

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30

Webber, James Trubek. "Cancer Bioinformatics for Biomarker Discovery." Thesis, University of California, San Francisco, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10604636.

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Cancer is a complex and multifaceted disease, and a vast amount of time and effort has been spent on characterizing its behaviors, identifying its weaknesses, and discovering effective treatments. Two major obstacles stand in the way of progress toward effective precision treatment for the majority of patients.

First, cancer's extraordinary heterogeneity—both between and even within patients—means that most patients present with a disease slightly different from every previously recorded case. New methods are necessary to analyze the growing body of patient data so that we can classify each new patient with as much accuracy and precision as possible. In chapter 2 I present a method that integrates data from multiple genomics platforms to identify axes of variation across breast cancer patients, and to connect these gene modules to potential therapeutic options. In this work we find modules describing variation in the tumor microenvironment and activation of different cellular processes. We also illustrate the challenges and pitfalls of translating between model systems and patients, as many gene modules are poorly conserved when moving between datasets.

A second problem is that cancer cells are constantly evolving, and many treatments inevitably lead to resistance as new mutations arise or compensatory systems are activated. To overcome this we must find rational combinations that will prevent resistant adaptation before it can start. Starting in chapter 3 I present a series of projects in which we used a high-throughput proteomics approach to characterize the activity of a large proportion of protein kinases, ending with the discovery of a promising drug combination for the treatment of breast cancer in chapter 8.

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31

Yu, Xiaobo. "Knowledge discovery in Internet databases." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq30577.pdf.

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32

Miller, Stephanie. "Masks, a journey for discovery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0027/MQ51420.pdf.

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33

Han, Jianchao. "Interactive visualization for knowledge discovery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ60540.pdf.

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34

Sundramoorthy, Vasughi. "At home in service discovery." Enschede : University of Twente [Host], 2006. http://doc.utwente.nl/57341.

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35

Cao, Huiping. "Pattern discovery from spatiotemporal data." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37381520.

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36

Leung, Chi-ming. "Motif discovery for DNA sequences." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B3859755X.

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37

Govorukhina, Natalia I. "Biomarker discovery for cervical cancer." [S.l. : Groningen : s.n. ; University Library of Groningen] [Host], 2007. http://irs.ub.rug.nl/ppn/305362089.

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38

Kehoe, Peggy. "Self discovery and personal creation /." Online version of thesis, 1991. http://hdl.handle.net/1850/11073.

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39

Bauckmann, Jana. "Dependency discovery for data integration." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6664/.

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Data integration aims to combine data of different sources and to provide users with a unified view on these data. This task is as challenging as valuable. In this thesis we propose algorithms for dependency discovery to provide necessary information for data integration. We focus on inclusion dependencies (INDs) in general and a special form named conditional inclusion dependencies (CINDs): (i) INDs enable the discovery of structure in a given schema. (ii) INDs and CINDs support the discovery of cross-references or links between schemas. An IND “A in B” simply states that all values of attribute A are included in the set of values of attribute B. We propose an algorithm that discovers all inclusion dependencies in a relational data source. The challenge of this task is the complexity of testing all attribute pairs and further of comparing all of each attribute pair's values. The complexity of existing approaches depends on the number of attribute pairs, while ours depends only on the number of attributes. Thus, our algorithm enables to profile entirely unknown data sources with large schemas by discovering all INDs. Further, we provide an approach to extract foreign keys from the identified INDs. We extend our IND discovery algorithm to also find three special types of INDs: (i) Composite INDs, such as “AB in CD”, (ii) approximate INDs that allow a certain amount of values of A to be not included in B, and (iii) prefix and suffix INDs that represent special cross-references between schemas. Conditional inclusion dependencies are inclusion dependencies with a limited scope defined by conditions over several attributes. Only the matching part of the instance must adhere the dependency. We generalize the definition of CINDs distinguishing covering and completeness conditions and define quality measures for conditions. We propose efficient algorithms that identify covering and completeness conditions conforming to given quality thresholds. The challenge for this task is twofold: (i) Which (and how many) attributes should be used for the conditions? (ii) Which attribute values should be chosen for the conditions? Previous approaches rely on pre-selected condition attributes or can only discover conditions applying to quality thresholds of 100%. Our approaches were motivated by two application domains: data integration in the life sciences and link discovery for linked open data. We show the efficiency and the benefits of our approaches for use cases in these domains.
Datenintegration hat das Ziel, Daten aus unterschiedlichen Quellen zu kombinieren und Nutzern eine einheitliche Sicht auf diese Daten zur Verfügung zu stellen. Diese Aufgabe ist gleichermaßen anspruchsvoll wie wertvoll. In dieser Dissertation werden Algorithmen zum Erkennen von Datenabhängigkeiten vorgestellt, die notwendige Informationen zur Datenintegration liefern. Der Schwerpunkt dieser Arbeit liegt auf Inklusionsabhängigkeiten (inclusion dependency, IND) im Allgemeinen und auf der speziellen Form der Bedingten Inklusionsabhängigkeiten (conditional inclusion dependency, CIND): (i) INDs ermöglichen das Finden von Strukturen in einem gegebenen Schema. (ii) INDs und CINDs unterstützen das Finden von Referenzen zwischen Datenquellen. Eine IND „A in B“ besagt, dass alle Werte des Attributs A in der Menge der Werte des Attributs B enthalten sind. Diese Arbeit liefert einen Algorithmus, der alle INDs in einer relationalen Datenquelle erkennt. Die Herausforderung dieser Aufgabe liegt in der Komplexität alle Attributpaare zu testen und dabei alle Werte dieser Attributpaare zu vergleichen. Die Komplexität bestehender Ansätze ist abhängig von der Anzahl der Attributpaare während der hier vorgestellte Ansatz lediglich von der Anzahl der Attribute abhängt. Damit ermöglicht der vorgestellte Algorithmus unbekannte Datenquellen mit großen Schemata zu untersuchen. Darüber hinaus wird der Algorithmus erweitert, um drei spezielle Formen von INDs zu finden, und ein Ansatz vorgestellt, der Fremdschlüssel aus den erkannten INDs filtert. Bedingte Inklusionsabhängigkeiten (CINDs) sind Inklusionsabhängigkeiten deren Geltungsbereich durch Bedingungen über bestimmten Attributen beschränkt ist. Nur der zutreffende Teil der Instanz muss der Inklusionsabhängigkeit genügen. Die Definition für CINDs wird in der vorliegenden Arbeit generalisiert durch die Unterscheidung von überdeckenden und vollständigen Bedingungen. Ferner werden Qualitätsmaße für Bedingungen definiert. Es werden effiziente Algorithmen vorgestellt, die überdeckende und vollständige Bedingungen mit gegebenen Qualitätsmaßen auffinden. Dabei erfolgt die Auswahl der verwendeten Attribute und Attributkombinationen sowie der Attributwerte automatisch. Bestehende Ansätze beruhen auf einer Vorauswahl von Attributen für die Bedingungen oder erkennen nur Bedingungen mit Schwellwerten von 100% für die Qualitätsmaße. Die Ansätze der vorliegenden Arbeit wurden durch zwei Anwendungsbereiche motiviert: Datenintegration in den Life Sciences und das Erkennen von Links in Linked Open Data. Die Effizienz und der Nutzen der vorgestellten Ansätze werden anhand von Anwendungsfällen in diesen Bereichen aufgezeigt.
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40

Ping, Dongsheng. "Peptidylamidoglycolate lyase : discovery and characterization." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/30012.

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41

Syed, Jameel Amjad. "Information structuring for managing discovery." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445304.

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42

Stoops, David. "Rule discovery from swarm systems." Thesis, University of Ulster, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550967.

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Rules determine how a system operates within the boundaries of its given environment. This principle is present within both natural and man-made systems alike. The term "man-made system" refers to systems which have been developed, implementing a specifically designed rule-set for its functionality. Whereas "natural systems" are those rules presented and seen within various species or environments within the natural world. The research presented within this thesis looks at the methods and results of discovering rules from swarm systems. The swarm is a phenomenon seen within the natural world where same species individuals group together to accomplish a task using their behaviours. This has many aspects of difficulty to it, various species employ differing rules, and a species can employ individuals with differing rule-sets. The primary swarm to be investigated is the Bird flock, with a developed simulation being used as a test-bed. The BOlD simulation presents a computer program incorporating a visual representation of the birds, each employing 3 basic rules. The challenge for this work is to develop a method of providing a generic rule discovery system for swarms. This encompasses the ability to collect and manipulate data, and discover the rules present within differing species and roles within swarms. An additional objective is to present a novel method for verifying or validating the rules, employing performance testing. This type of testing provides much insight into the validity of the rules by determining how well they perform when tested against the original rule-set. The data collected from the BOlD simulation was transformed into the selected attributes for mining, with a rule algorithm being used to discover rules. The rules which were discovered provided an insight into the behaviours of the swarm, with the performance testing proving that they were not as effective or efficient as the original rules employed within the simulation. The presented research provides the ability to gather a further insight into swarm behaviours, and presents a varying method for understanding the interactions we view every day within these swarms.
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43

Cao, Huiping, and 曹會萍. "Pattern discovery from spatiotemporal data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37381520.

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44

Leung, Chi-ming, and 梁志銘. "Motif discovery for DNA sequences." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B3859755X.

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45

Cafcules, Stephanie Tyler. "An eddy of self discovery." Honors in the Major Thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1371.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.
Bachelors
Arts and Humanities
Fine Arts
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46

Smith, Steven Lee, and Mohammed Abdul latif Al-Mahmood. "Knowledge discovery using genetic programming." Thesis, Monterey, California. Naval Postgraduate School, 1993. http://hdl.handle.net/10945/26608.

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Dramatic growth in database technology has outpaced the ability to analyze the information stored in databases for new knowledge and has created an increasing potential for the loss of undiscovered knowledge. This potential gains for such knowledge discovery are particularly large in the Department of Defense where millions of transactions, from maintenance to medical information, are recorded yearly. Due to the limitations of traditional knowledge discovery methods in analyzing this data, there is a growing need to utilize new knowledge discovery methods to glean knowledge from vast databases. This research compares a new knowledge discovery approach using a genetic program (GP) developed at the Naval Postgraduate School that produces data associations expressed as IF X THEN Y rules. In determining validity of this GP approach, the program is compared to traditional statistical and inductive methods of knowledge discovery. Results of this comparison indicate the viability of using a GP approach in knowledge discovery by three findings. First, the GP discovered interesting patterns from the data set. Second, the GP discovered new relationships not uncovered by the traditional methods. Third, the GP demonstrated a greater ability to focus the knowledge discovery search towards particular relationships, such as producing exact or general rules
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47

Colquhoun, Joy Allison. "Discovery of deep-sea actinomycetes." Thesis, University of Kent, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263699.

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48

Bell, D. A. "Information handling and pattern discovery." Thesis, University of Ulster, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245331.

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49

CARVALHO, FELIPE OLIVEIRA. "CONTINUOUS SERVICE DISCOVERY IN IOT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30746@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
A popularização da Internet das Coisas (IoT, Internet of Things) provocou uma crescente oportunidade para a criação de aplicações em diversas áreas, através da combinação do uso de sensores e/ou atuadores. Em ambientes de IoT, o papel de elementos chamados de gateways consiste em fornecer uma camada de comunicação intermediária entre os dispositivos de IoT e serviços de nuvem. Um fator crucial para a construção de aplicações em larga escala é que os dispositivos de IoT possam ser utilizados de maneira transparente, num paradigma orientado a serviços, onde detalhes de comunicação e configuração destes objetos são tratados pelos gateways. No modelo de serviços, as aplicações devem descobrir as interfaces de alto-nível dos dispositivos e não precisam lidar com detalhes subjacentes, que são tratados pelos gateways. Em cenários de grande dinamismo e mobilidade (com conexões e desconexões de dispositivos acontecendo a todo momento), a descoberta e configuração de objetos deve ocorrer de forma contínua. Os protocolos de descoberta de serviços tradicional, como o Universal Plug and Play (UPnP) ou o Service Location Protocol (SLP), não foram desenvolvidos levando em consideração o alto dinamismo de ambientes IoT. Nesse sentido, introduzimos o processamento de eventos complexos (CEP), que é uma tecnologia para processamento em tempo real de fluxos de eventos heterogêneos, que permite a utilização de consultas em linguagem CQL (Continuous Query Language) para a busca de eventos de interesse. Em um modelo onde os eventos relacionados à descoberta de sensores são enviados para um fluxo CEP, consultas expressivas são escritas para que uma aplicação descubra continuamente serviços de interesse. Este trabalho apresenta a extensão do MHub/CDDL para o suporte à descoberta contínua de serviços em IoT, utilizando CEP. O MHub/CDDL (Mobile Hub / Context Data Distribution Layer) é um middleware para descoberta de serviços e gerenciamento de qualidade de contexto em IoT, desenvolvido numa parceria entre o Laboratory for Advanced Collaboration (LAC) da PUC-Rio e o Laboratório de Sistemas Distribuídos Inteligentes (LSDi) da Universidade Federal do Maranhão (UFMA). A implementação deste trabalho é feita para a plataforma Android (Java) e um estudo de caso no domínio de estacionamentos inteligentes é conduzido e implementado, elucidando o uso do mecanismo de descoberta contínuo.
The popularization of the Internet of Things sparked a growing opportunity for the creation of applications in various areas, by combining the use of sensors and/or actuators. In IoT environments, the role of elements called gateways is to provide an intermediate communication layer between IoT devices and cloud services. A crucial factor for the construction of large-scale applications is to allow the use of IoT devices in a transparent manner, in a service-oriented paradigm, where details of communication and configuration are handled by the gateways. In service model, applications must discover the high-level interfaces of the devices and do not have to deal with underlying details that are handled by gateways. In scenarios of high dynamism and mobility (with connections and disconnections of devices occuring all the time), this discovery and configuration must occur continuously. Traditional service discovery protocols, such as Universal Plug and Play (UPnP) or Service Location Protocol (SLP), have not been developed taking into consideration the high dinamicity of IoT environments. In this sense, we introduce complex event processing (CEP), which is a technology for real-time processing of heterogeneous event flows, which allows the use of CQL (Continuous Query Language for the search of events of interest. In a model where events related to sensor discovery are sent to a CEP flow, expressive queries are written for an application to continuously discover services of interest. This work presents the extension of MHub / CDDL to support continuous service discovery in IoT, using CEP. The MHub / CDDL (Mobile Hub / Context Data Distribution Layer) is a middleware for service discovery and quality context management in IoT, developed in a partnership between the Laboratory for Advanced Collaboration (LAC) from PUC-Rio and the Laboratório de Sistemas Distribuídos Inteligentes (LSDi) from Universidade Federal do Maranhão (UFMA). The implementation of this work is done in Android (Java) platform and a case study in the domain of smart parking is conducted and implemented, elucidating the use of the continuous discovery mechanism.
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50

Miura, Taichi. "Self-discovery in Plato's 'Phaedo'." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/selfdiscovery-in-platos-phaedo(afec867a-7f5c-4176-bd99-c98a99874923).html.

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How can we know ourselves? This thesis argues that Plato’s dialogue Phaedo replies to this difficult question. The dialogue suggests that we must discover our intellectual desire and governing function through the practice of philosophical investigation. Although this is an implicit suggestion, it is just as important as the explicit discussion of the soul’s immortality. Focusing on this topic, the thesis also argues that we should read the dialogue as a suggestion for the process of improving a human being; it does not intend to provide a complete definition of the soul’s nature. A philosopher will recognise his progress towards achieving his objective, the Forms, through the investigation itself. Moreover, this thesis argues that Phaedo asserts that a philosophical desire should be found explicitly in a process of discussion with Socrates. In the first main discussion of the dialogue, interlocutors of Socrates request him to defend the goodness of death (62c-63a). This goodness is based on a claim that death as the soul’s separation from the body provides them with wisdom. However, the defence will be meaningless to people who do not desire wisdom. When the interlocutors become clearly conscious of their desire for wisdom, Socrates’ arguments would succeed in the truest sense. The process of the philosophical investigation, though, is not simple. This thesis will argue that a philosopher must employ both objective discussion and subjective self-recognition of his desire, which contrasts with the view that focuses on the objective understanding of human psychology in Plato’s work. This thesis argues for a reading of Phaedo that focuses on the process of self-improvement, not the goal or the definition of the soul’s nature. Moreover, it also emphasizes self-discovery of intellectual desire in a philosopher, which cannot be reduced to an objective discussion.
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