Data Dynamic charts the course for actionable data by providing important strategies, information and prorocols. Using this informaton, data teams can then gather appropriate data, indentify areas for improvement and more effectively help all students succeed. [back cover].
The Census Bureau has recently begun releasing official statistics that measure the movements of firms in and out of business and workers in and out of jobs. The economic analyses in Producer Dynamics exploit this newly available data on establishments, firms, and workers, to address issues in industrial organization, labor, growth, macroeconomics, and international trade. This innovative volume brings together a group of renowned economists to probe topics such as firm dynamics across countries; patterns of employment dynamics; firm dynamics in nonmanufacturing industries such as retail, health services, and agriculture; employer-employee turnover from matched worker/firm data sets; and turnover in international markets. Producer Dynamics will serve as an invaluable reference to economists and policy makers seeking to understand the links between firms and workers, and the sources of economic dynamics, in the age of globalization.
This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.
This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. The 42 revised full papers presented together with three invited talks were carefully reviewed and selected from 162 submissions. They are organized in tracks on ontologies; linked open data; semantic data management; mobile Web, sensors and semantic streams; reasoning; natural language processing and information retrieval; machine learning; social Web and Web science; cognition and semantic Web; and in-use and industrial tracks. The book also includes 17 PhD papers presented at the PhD Symposium.
This authored monograph presents the use of dynamic spatiotemporal modeling tools for the identification of complex underlying processes in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility. The authors use ideas from statistics, signal processing, and ecology, and provide a predictive framework which is able to assimilate data and give confidence estimates on the predictions. The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years. The target audience primarily comprises researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.
The two volumes of BANKING AUTOMATION 1970-71 present - for the first time - comprehensive guidance on the vast range of methods and equipment which sophisticated electronic and systems engineering is contributing to the enhancement of efficiency and security in Banks, Finance Houses, Commercial and Industrial concerns throughout the world. Volume I encompasses the field of data processing, and includes a considerable review of existing and potential applications for computers and associated systems, peripheral and verifying equipment in the continually expanding realm of banking and accountancy. Volume II covers money and cheque handling equipment; communications systems; drive-in banking; safes and security equipment; closed-circuit television monitoring; intruder alarm systems; office and mailing machinery; paper and forms handling equipment; etc. , etc. Useful features include a Directory of suppliers who specialise in the types of equipment, system-planning and services featured in these volumes; also a Glossary which is aimed to be of equal importance to readers with a bias of expertise in banking and money technology, or in automation. These features appear in Volume I.
This book investigates a new interactive data visualisation concept that employs traditional Chinese aesthetics as a basis for exploring contemporary digital technological contexts. It outlines the aesthetic approach, which draws on non-Western aesthetic concepts, specifically the Yijing and Taoist cosmological principles, and discusses the development of data-based digital practices within a theoretical framework that combines traditional Taoist ideas with the digital humanities. The book also offers a critique of the Western aesthetics underpinning data visualisation, in particular the Kantian sublime, which prioritises the experience of power over the natural world viewed at a distance. Taoist philosophy, in contrast, highlights the integration of the surface of the body and the surface of nature as a Taoist body, rather than promoting an opposition of mind and body. The book then explores the transformational potential between the human body and technology, particularly in creating an aesthetic approach spanning traditional Chinese aesthetics and gesture-based technology. Representing a valuable contribution to the digital humanities, the book helps readers understand data-based artistic practices, while also bringing the ideas of traditional Chinese aesthetics to Western audiences. In addition, it will be of interest to practitioners in the fields of digital art and data visualisation seeking new models.
The Social Dynamics of Open Data is a collection of peer reviewed papers presented at the 2nd Open Data Research Symposium (ODRS) held in Madrid, Spain, on 5 October 2016. Research is critical to developing a more rigorous and fine-combed analysis not only of why open data is valuable, but how it is valuable and under what specific conditions. The objective of the Open Data Research Symposium and the subsequent collection of chapters published here is to build such a stronger evidence base. This base is essential to understanding what open data’s impacts have been to date, and how positive impacts can be enabled and amplified. Consequently, common to the majority of chapters in this collection is the attempt by the authors to draw on existing scientific theories, and to apply them to open data to better explain the socially embedded dynamics that account for open data’s successes and failures in contributing to a more equitable and just society.