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"Computer art Congresses."
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More than real : art in the digital age : 2018 Verbier Art Summit
This is the second in the Summit publication series, disseminating key insights of the 2018 Summit and extending a global dialogue on an important social issue: art in the digital age. The multidisciplinary perspectives come together through the inspirational book design by Irma Boom. Acting as a cultural incubator for innovative ideas and change, the Verbier Art Summit is an international platform erected to optimise the role of art in a global society. Their mission is to connect thought leaders to key figures in the art world and thus position the Summit as a catalyst for innovation and change. Their vision is to create an influential platform in a non-transactional context for artists, curators, museum directors, private and corporate collectors, art historians/critics, gallerists and art consultants to generate new insights and ideas.
Wearable sensors : fundamentals, implementation and applications
by
Neuman, Michael R.
,
Sazonov, Edward
in
Biosensors
,
Clothing and dress
,
Clothing and dress -- Technological innovations
2014
Written by industry experts, this book aims to provide you with an understanding of how to design and work with wearable sensors.Together these insights provide the first single source of information on wearable sensors that would be a valuable addition to the library of any engineer interested in this field.Wearable Sensors covers a wide variety.
Being material
\"In 1995, MIT's Nicholas Negroponte predicted that \"being digital\" would have us entering a realm increasingly unconstrained by the materiality of the world. Two decades later, our everyday lives are indeed ever more suffused by computation and calculation. But unwieldy materiality persists and even reasserts itself. At the intersection of art, science and technology, \"Being Material\" revisits Negroponte's prediction by exploring new and unexpected convergences between the digital and the material in the practices of artists, designers, engineers and scientists who work with programmable matter, self-assembling structures, 3D/4D printing, wearable technologies and bio-inspired design. This book will radically intervene into the understanding of how material dynamics limit, expand, transform, and/or vivify our biological, social and political lives. \"Being Material\" will revisit the history of material science (particularly at MIT), contribute to \"new materialism\" in critical theory, and place both projects in dialogue with kindred and contrasting philosophy, art practice and critique. The editors and contributors refine and expand on such cross-field investigations by developing a contrast among five different material genealogical lineages: programmable, wearable, livable, invisible, and audible\"-- Provided by publisher.
Figuring the past
This innovative analysis of period film presents a new way to examine the ways in which contemporary cinema recreates the historical past. Exploring the relationship between visual motifs and cultural representation, Figuring the Past is a selection of detailed case studies that explore three key figures—the house, the tableau, and the letter. Belen Vidal proposes a new aesthetic framework for the study of period film, looking at a number of important auteurs in the genre, including James Ivory, Martin Scorsese, and Jane Campion. This handsomely illustrated book seeks to position this popular but often understudied genre in its proper place within the academic discipline of cinema studies.
Solving many-objective optimisation problems using partial dominance
by
Engelbrecht, Andries
,
Helbig, Mardé
in
Algorithms
,
Artificial Intelligence
,
Computational Biology/Bioinformatics
2025
Most optimisation problems have multiple, often conflicting, objectives. Due to the conflicting objectives, a single solution does not exist, and therefore, the goal of a multi-objective optimisation algorithm (MOA) is to find a set of optimal trade-off solutions. Pareto dominance is used to guide the search and compare the quality of two solutions of a multi-objective optimisation problem, where solutions equal in quality are referred to as being non-dominated. However, many-objective optimisation problems (MaOPs) have more than three objectives and the number of non-dominated solutions increases as the number of objectives increases. Therefore, Pareto dominance is no longer an effective approach to guide the search. Recently, a partial dominance approach has been proposed to address this problem. Preliminary results indicate that the partial dominance relation shows promise and scales well with increasing number of objectives. This article extends that study by incorporating the relation in another MOA, applying the relation at different frequencies and evaluating the performance of the relation against both the original MOAs and state-of-the-art algorithms. The results provide further evidence that the partial dominance relation is an efficient approach to solve MaOPs.
Journal Article
Beyond concordance lines : corpora in language education
by
Pérez-Paredes, Pascual
,
Mark, Geraldine
in
Applied linguistics
,
Computational & corpus linguistics
,
Computational linguistics
2021
In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse and put data to use. This volume takes a three-fold perspective on DDL.
Digital visual culture
by
Cashen, Trish
,
Gardiner, Hazel
,
Bentkowska-Kafel, Anna
in
Computer Animation
,
COMPUTERS
,
Congresses
2009
Digital Visual Culture presents the latest research into the relationship between theory and practice across digital media and technology in the visual arts and investigates the challenges of contemporary research and art curation, particularly in regard to new media artworks. The contributors to this volume discuss the impact of technological advances on visual art and the new art practices that are developing as a result. Many aspects of new interdisciplinary and collaborative practices are considered, such as net art and global locative environments, , and installations that are themselves performance, or games that often take place simultaneously online and in reality. Digital Visual Culture is an important addition to the ongoing discussion surrounding postmodern art practice in art and digital media.
Anime’s Media Mix
by
Marc Steinberg
in
Animated films
,
Animated films -- Japan -- History and criticism
,
Animated television programs
2012
In Anime’s Media Mix, Marc Steinberg convincingly shows that anime is far more than a style of Japanese animation. Engaging with film, animation, and media studies, as well as analyses of consumer culture and theories of capitalism, Steinberg offers the first sustained study of the Japanese mode of convergence that informs global media practices to this day.
Interdisciplinarity in Translation and Interpreting Process Research
by
O'Brien, Sharon
,
Ehrensberger-Dow, Maureen
,
Göpferich, Susanne
in
Cognitive grammar
,
Cognitive grammar -- Research -- Congress
,
Congress
2015
On the basis of a pilot study using speech recognition (SR) software, this chapter attempts to illustrate the benefits of adopting an interdisciplinary approach in translator training. It shows how the collaboration between phoneticians, translators and interpreters can (1) advance research, (2) have implications for the curriculum, (3) be pedagogically motivating, and (4) prepare students for employing translation technology in their future practice as translators. In a two-phase study in which 14 MA students translated texts in three modalities (sight, written, and oral translation using an SR program), Translog was employed to measure task times. The quality of the products was assessed by three experienced translators, and the number and types of misrecognitions were identified by a phonetician. Results indicate that SR translation provides a potentially useful supplement to written translation, or indeed an alternative to it.
Automatic classification of older electronic texts into the Universal Decimal Classification–UDC
2021
PurposeThe purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal Classification (UDC), using machine-learning methods.Design/methodology/approachThe general research approach is inherent to design science research, in which the problem of UDC assignment of the old, digitised texts is addressed by developing a machine-learning classification model. A corpus of 70,000 scholarly texts, fully bibliographically processed by librarians, was used to train and test the model, which was used for classification of old texts on a corpus of 200,000 items. Human experts evaluated the performance of the model.FindingsResults suggest that machine-learning models can correctly assign the UDC at some level for almost any scholarly text. Furthermore, the model can be recommended for the UDC assignment of older texts. Ten librarians corroborated this on 150 randomly selected texts.Research limitations/implicationsThe main limitations of this study were unavailability of labelled older texts and the limited availability of librarians.Practical implicationsThe classification model can provide a recommendation to the librarians during their classification work; furthermore, it can be implemented as an add-on to full-text search in the library databases.Social implicationsThe proposed methodology supports librarians by recommending UDC classifiers, thus saving time in their daily work. By automatically classifying older texts, digital libraries can provide a better user experience by enabling structured searches. These contribute to making knowledge more widely available and useable.Originality/valueThese findings contribute to the field of automated classification of bibliographical information with the usage of full texts, especially in cases in which the texts are old, unstructured and in which archaic language and vocabulary are used.
Journal Article