ASTRAL PROJECTION: THEORIES OF METAPHOR, PHILOSOPHIES OF SCIENCE, AND THE ART O F SCIENTIFIC VISUALIZATION

This thesis provides an intellectual context for my work in computational scientific visualization for large-scale public outreach in venues such as digitaldome planetarium shows and high-definition public television documentaries. In my associated practicum, a DVD that provides video excerpts, 1 focus especially on work I have created with my Advanced Visualization Laboratory team at the National Center for Supercomputing Applications (Champaign, Illinois) from 2002-2007. 1 make three main contributions to knowledge within the field of computational scientific visualization. Firstly, I share the unique process 1 have pioneered for collaboratively producing and exhibiting this data-driven art when aimed at popular science education. The message of the art complements its means of production: Renaissance Team collaborations enact a cooperative paradigm of evolutionary sympathetic adaptation and co-creation. Secondly, 1 open up a positive, new space within computational scientific visualization's practice for artistic expression—especially in providing a theory of digi-epistemology that accounts for how this is possible given the limitations imposed by the demands of mapping numerical data and the computational models derived from them onto visual forms. I am concerned not only with liberating artists to enrich audience's aesthetic experiences of scientific visualization, to contribute their own vision, but also with conceiving of audiences as co-creators of the aesthetic significance of the work, to re-envision and re-circulate what they encounter there. Even more commonly than in the age of traditional media, on-line social computing and digital tools have empowered the public to capture and repurpose visual metaphors, circulating them within new contexts and telling new stories with them. Thirdly, I demonstrate the creative power of visaphors (see footnote, p. 1) to provide novel embodied experiences through my practicum as well as my thesis discussion. Specifically, I describe how the visaphors my Renaissance Teams and I create enrich the Environmentalist Story of Science, essentially promoting a counter-narrative to the Enlightenment Story of Science through articulating how humanity participates in an evolving universal consciousness through our embodied interaction and cooperative interdependence within nested, self-producing (autopoetic) systems, from the micro- to the macroscopic. This contemporary account of the natural world, its inter-related systems, and their dynamics may be understood as expressing a creative and generative energy—a kind of consciousness-that transcends the human yet also encompasses it

Advances in Data Mining Knowledge Discovery and Applications

Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications

Space Resources and Space Settlements

The technical papers from the five tasks groups that took part in the 1977 Ames Summer Study on Space Settlements and Industrialization Using Nonterrestrial Materials are presented. The papers are presented under the following general topics: (1) research needs for regenerative life-support systems; (2) habitat design; (3) dynamics and design of electromagnetic mass drivers; (4) asteroids as resources for space manufacturing; and (5) processing of nonterrestrial materials

Library Automation Domain Ontology

Disertace je věnována problematice automatizace knihoven. Zkoumá vztahy mezi oblastí automatizace knihoven a knihovními systémy a zohledňuje přitom potřeby knihoven v souvislosti s problematikou výběru knihovního softwaru. Cílem disertace bylo vytvořit doménovou ontologii pro oblast automatizace knihoven a navrhnout nástroje pro podporu rozhodování při výběru knihovního softwaru. V rámci disertace byla vytvořena doménová ontologie popisující oblast automatizace knihoven ve vztahu ke knihovním systémům, které jsou zasazeny do širšího kontextu oblasti automatizace knihoven a je na ně nahlíženo z hlediska potřeb knihoven. Z účelem získání termínů pro názvy entit v ontologii byla provedena analýza odborných textů vztahujících se k problematice automatizace knihoven a knihovních systémů, pro kterou byl využit softwarový nástroj Voyant Tools. Vlastnosti a vztahy entit v ontologii jsou založeny na výsledcích kvalitativního průzkumu potřeb knihoven ve vztahu ke knihovním softwarům. Na základě doménové ontologie byly vytvořeny vývojové diagramy, které ilustrují rozhodovací proces knihovny při výběru knihovního systému. Vedlejším výstupem disertační práce je metodická příručka pro knihovny Připravujeme změnu knihovního softwaru.The dissertation focuses on library automation. It examines relationships between the field of library automation and library management systems and the needs of libraries in relation to the process of library software selection. The main goal of the dissertation has been to create a library automation domain ontology and to develop tools to support a decision-making process of library software selection. The domain ontology has been created; it describes the field of library automation in relation to library systems, which are set in the broader context of the field of library automation and are regarded in terms of needs of libraries in connection to library software change. To obtain terms for ontology entity names both quantitative and mixed research methods were used, namely the analysis of scholarly texts on library automation and library systems; text analyses were performed using Voyant Tools software. Object properties and relationships among entities in ontology are based on the results of a qualitative survey of the needs of libraries in relation to the library management software. Based on the domain ontology, flowcharts have been created that illustrate the library's decision-making process when selecting a library management system. During the work on the dissertation, a methodological...Institute of Information Studies and LibrarianshipÚstav informačních studií a knihovnictvíFaculty of ArtsFilozofická fakult

ICSEA 2021: the sixteenth international conference on software engineering advances

The Sixteenth International Conference on Software Engineering Advances (ICSEA 2021), held on October 3 - 7, 2021 in Barcelona, Spain, continued a series of events covering a broad spectrum of software-related topics. The conference covered fundamentals on designing, implementing, testing, validating and maintaining various kinds of software. The tracks treated the topics from theory to practice, in terms of methodologies, design, implementation, testing, use cases, tools, and lessons learnt. The conference topics covered classical and advanced methodologies, open source, agile software, as well as software deployment and software economics and education. The conference had the following tracks: Advances in fundamentals for software development Advanced mechanisms for software development Advanced design tools for developing software Software engineering for service computing (SOA and Cloud) Advanced facilities for accessing software Software performance Software security, privacy, safeness Advances in software testing Specialized software advanced applications Web Accessibility Open source software Agile and Lean approaches in software engineering Software deployment and maintenance Software engineering techniques, metrics, and formalisms Software economics, adoption, and education Business technology Improving productivity in research on software engineering Trends and achievements Similar to the previous edition, this event continued to be very competitive in its selection process and very well perceived by the international software engineering community. As such, it is attracting excellent contributions and active participation from all over the world. We were very pleased to receive a large amount of top quality contributions. We take here the opportunity to warmly thank all the members of the ICSEA 2021 technical program committee as well as the numerous reviewers. The creation of such a broad and high quality conference program would not have been possible without their involvement. We also kindly thank all the authors that dedicated much of their time and efforts to contribute to the ICSEA 2021. We truly believe that thanks to all these efforts, the final conference program consists of top quality contributions. This event could also not have been a reality without the support of many individuals, organizations and sponsors. We also gratefully thank the members of the ICSEA 2021 organizing committee for their help in handling the logistics and for their work that is making this professional meeting a success. We hope the ICSEA 2021 was a successful international forum for the exchange of ideas and results between academia and industry and to promote further progress in software engineering research

Ontology based data warehousing for mining of heterogeneous and multidimensional data sources

Heterogeneous and multidimensional big-data sources are virtually prevalent in all business environments. System and data analysts are unable to fast-track and access big-data sources. A robust and versatile data warehousing system is developed, integrating domain ontologies from multidimensional data sources. For example, petroleum digital ecosystems and digital oil field solutions, derived from big-data petroleum (information) systems, are in increasing demand in multibillion dollar resource businesses worldwide. This work is recognized by Industrial Electronic Society of IEEE and appeared in more than 50 international conference proceedings and journals

Analyzing Granger causality in climate data with time series classification methods

Attribution studies in climate science aim for scientifically ascertaining the influence of climatic variations on natural or anthropogenic factors. Many of those studies adopt the concept of Granger causality to infer statistical cause-effect relationships, while utilizing traditional autoregressive models. In this article, we investigate the potential of state-of-the-art time series classification techniques to enhance causal inference in climate science. We conduct a comparative experimental study of different types of algorithms on a large test suite that comprises a unique collection of datasets from the area of climate-vegetation dynamics. The results indicate that specialized time series classification methods are able to improve existing inference procedures. Substantial differences are observed among the methods that were tested

Machine Learning and Its Application to Reacting Flows

This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows. These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and “greener” combustion systems that are friendlier to the environment can be designed. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation

A theory and model for the evolution of software services

Software services are subject to constant change and variation. To control service development, a service developer needs to know why a change was made, what are its implications and whether the change is complete. Typically, service clients do not perceive the upgraded service immediately. As a consequence, service-based applications may fail on the service client side due to changes carried out during a provider service upgrade. In order to manage changes in a meaningful and effective manner service clients must therefore be considered when service changes are introduced at the service provider's side. Otherwise such changes will most certainly result in severe application disruption. Eliminating spurious results and inconsistencies that may occur due to uncontrolled changes is therefore a necessary condition for the ability of services to evolve gracefully, ensure service stability, and handle variability in their behavior. Towards this goal, this work presents a model and a theoretical framework for the compatible evolution of services based on well-founded theories and techniques from a number of disparate fields.

A return to 'the great variety of readers’: the history and future of reading Shakespeare

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonFor almost a century Shakespeare’s work has been viewed primarily under a supremacy of performance with an insistence that Shakespeare wrote his work to be staged, not read. This prevailing view has ensured that most responses in Shakespearean research fit within this line of enquiry. The recent argument that Shakespeare was a literary dramatist who wrote for readers—as well as audiences—has met with resistance. This thesis first exposes the very literate world Shakespeare lived in and his own perception of that world, which embraces a writer who wrote for readers. The material evidence of readers begins in Shakespeare’s own lifetime and grows steadily, evidenced by the editorial methods used to facilitate reading, the profusion of books specifically for readers of general interest, and the thousands of lay reading circles formed to enjoy and study the plays. Readers of the seventeenth through the nineteenth centuries are shown to have spontaneously responded to the works as literature, as reading Shakespeare aloud within a family or social circle has a tenacious history. For three hundred years after Shakespeare’s death it was readers and Shakespeare reading groups who created and maintained Shakespeare’s legacy as a literary icon and national hero. The history of millions of lay readers reading aloud in community was engulfed by the transition of the texts into academia and performance criticism until by the 1940s Shakespeare reading groups were virtually non-existent. A new genre of editorial practice can support a re-emergence of community reading and point toward a greater acceptance of Shakespeare as a literary dramatist, enlarging the field of Shakespearean scholarship and criticism. A prototype of a Readers’ Edition of a Shakespearean play specifically edited and designed for reading aloud in groups is included with this thesis