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2020 (12)

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Periodical
Schweizer Jahrbuch für Musikwissenschaft
Authors: ---
ISSN: 22357475 Year: 2020 Publisher: Bern : Bern : Haupt, Peter Lang


Periodical
Canadian art teacher : Enseigner les arts au Canada.
Author:
ISSN: 17018587 28175867 Year: 2020 Publisher: [Victoria, British Columbia] : CSEA, Canadian Society for Education through Art = SCEA, Société canadienne d'éducation par l'art,


Book
Technology, Design and the Arts - Opportunities and Challenges
Authors: --- --- ---
ISBN: 3030420973 3030420965 Year: 2020 Publisher: Springer Nature

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Abstract

This open access book details the relationship between the artist and their created works, using tools such as information technology, computer environments, and interactive devices, for a range of information sources and application domains. This has produced new kinds of created works which can be viewed, explored, and interacted with, either as an installation or via a virtual environment such as the Internet. These processes generate new dimensions of understanding and experience for both the artist and the public’s relationships with the works that are produced. This has raised a variety of interdisciplinary opportunities and issues, and these are examined. The symbiotic relationship between artistic works and the cultural context in which they are produced is reviewed. Technology can provide continuity by making traditional methods and techniques more efficient and effective. It can also provide discontinuity by opening up new perspectives and paradigms. This can generate new ideas, and produce a greater understanding of artistic processes and how they are implemented in practice. Tools have been used from the earliest times to create and modify artistic works. For example, naturally occurring pigments have been used for cave paintings. What has been created provides insight into the cultural context and social environment at the time of creation. There is an interplay between the goal of the creator, the selection and use of appropriate tools, and the materials and representations chosen. Technology, Design and the Arts - Opportunities and Challenges is relevant for artists and technologists and those engaged in interdisciplinary research and development at the boundaries between these disciplines.


Book
Thinking, Drawing, Modelling : GEOMETRIAS 2017, Coimbra, Portugal, June 16–18
Authors: --- ---
ISBN: 3030468046 3030468038 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book presents a selection of papers from the International Conference Geometrias’17, which was hosted by the Department of Architecture at the University of Coimbra from 16 to 18 June 2017. The Geometrias conferences, organized by Aproged (the Portuguese Geometry and Drawing Teachers’ Association), foster debate and exchange on practical and theoretical research in mathematics, architecture, the arts, engineering, and related fields. Geometrias’17, with the leitmotif “Thinking, Drawing, Modelling”, brought together a group of recognized experts to discuss the importance of geometric literacy and the science of representation for the development of scientific and technological research and professional practices. The 12 peer-reviewed papers gathered here show how geometry, drawing, stereotomy, and the science of representation are still at the core of every act leading to the conception and materialization of form, and highlight their continuing relevance for scholars and professionals in the fields of architecture, engineering, and applied mathematics.


Book
Excel 2019 for human resource management statistics : a guide to solving practical problems
Authors: ---
ISBN: 3030580016 3030580008 Year: 2020 Publisher: Cham, Switzerland : Springer,

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Abstract

This book shows the capabilities of Microsoft Excel in teaching human resource management statistics effectively. Similar to the previously published Excel 2016 for Human Resource Management Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2019 for Human Resource Management Statistics: A Guide to Solving Practical Problems, 2nd Edition, capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.


Book
Deep Learning Techniques for Music Generation
Authors: --- ---
ISBN: 3319701630 3319701622 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.


Book
Digitalisation and Development : Issues for India and Beyond
Authors: --- ---
ISBN: 9811399964 9811399956 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book investigates the impact of information and communication technologies (ICTs) on development and well-being (beyond economic benefits) and highlights some emerging issues relating to the realities, constraints and digital divides with particular reference to India. It collects a series of novel contributions, studying the Indian experience in an international cross-country perspective. The book also discusses economic, social, and behavioural aspects of well-being as well as access to ICTs across regions, states and individuals to account for the digital divide. The book establishes an aggregate relationship between ICT exposure and well-being at the country level and addresses a number of fundamental issues, such as whether ICT raises the level of transparency and governance. Based on case studies and anecdotal evidence, it then further assesses the effective implementation of service delivery through ICT innovations. The book is divided into four parts: The introductory part surveys the literature and presents background information on the Indian case; introduces the main themes on the relationships between ICT, socio-economic development and digital divides; and provides a summary and roadmap to the chapters of the book. Part II focuses on the impact of ICT on economic performance, including economic growth, productivity and trade. Part III examines the extent of the digital divides in India, including international, regional as well as inter-personal inequality. Finally, Part IV investigates the impact of ICT on governance, users’ well-being and social outcomes. Combining insights from analyses of a variety of socio-economic dimensions related to digitalisation, this book is relevant for a wide range of scholars and researchers across disciplines, as well as practitioners and policy-makers. While the book has a main focus on India, various contributions take an international cross-country comparative perspective, and the results have general relevance for digitalisation and development. On the whole, the main message of this book is that the impact of ICTs is contingent upon other assets, capabilities and institutional conditions. National policies should, therefore, not only promote digitalization as such but also ensure its co-evolution and complementarity with a variety of other country-specific factors. Chapter 'Digitalisation and Development: Issues for India and Beyond' of this book is available open access under a CC BY 4.0 license at link.springer.com.


Book
Linguistic Linked Data : Representation, Generation and Applications
Authors: --- --- ---
ISBN: 3030302253 3030302245 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource. The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to capture the metadata of language resources. Further, it includes a chapter on representing linguistic categories. In the third part of the book, the authors describe how language resources can be transformed into LD and how links can be inferred and added to the data to increase connectivity and linking between different datasets. They also discuss using LD resources for natural language processing. The last part describes concrete applications of the technologies: representing and linking multilingual wordnets, applications in digital humanities and the discovery of language resources. Given its scope, the book is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data. It appeals to Semantic Web experts who are not proficient in applying the Semantic Web and LD principles to linguistic data, as well as to computational linguists who are used to working with lexical and linguistic resources wanting to learn about a new paradigm for modelling, publishing and exploiting linguistic resources.


Book
The future of music : Towards a Computational Musical Theory of Everything
Authors: --- --- --- --- --- et al.
ISBN: 3030397092 3030397084 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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The idea of this monograph is to present an overview of decisive theoretical, computational, technological, aesthetical, artistic, economical, and sociological directions to create future music. It features a unique insight into dominant scientific and artistic new directions, which are guaranteed by the authors' prominent publications in books, software, musical, and dance productions. Applying recent research results from mathematical and computational music theory and software as well as new ideas of embodiment approaches and non-Western music cultures, this book presents new composition methods and technologies. Mathematical, computational, and semiotic models of artistic presence (imaginary time, gestural creativity) as well as strategies are also covered. This book will be of interest to composers, music technicians, and organizers in the internet-based music industry, who are offered concrete conceptual architectures and tools for their future strategies in musical creativity and production.


Book
Text Analysis with R : For Students of Literature
Authors: ---
ISBN: 3030396436 3030396428 9783030396459 9783030396428 3030396452 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.

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