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A committee under the auspices of the Board on Science, Technology, and Economic Policy (STEP), is conducting a study of selected state and regional programs in order to identify best practices with regard to their goals, structures, instruments, modes of operation, synergies across private and public programs, funding mechanisms and levels, and evaluation efforts. The committee is reviewing selected state and regional efforts to capitalize on federal and state investments in areas of critical national needs. Building the Arkansas Innovation Economy: Summary of a Symposium includes both efforts to strengthen existing industries as well as specific new technology focus areas such as nanotechn...
World-wide trends such as globalization, demographic shifts, increased customer demands, and shorter product lifecycles present a significant challenge to the road freight transport industry: meeting the growing road freight transport demand economically while striving for sustainability. Artificial intelligence, particularly machine learning, is expected to empower transport planners to incorporate more information and react quicker to the fast-changing decision environment. Hence, using machine learning can lead to more efficient and effective transport planning. However, despite the promising prospects of machine learning in road freight transport planning, both academia and industry struggle to identify and implement suitable use cases to gain a competitive edge. In her dissertation, Sandra Lechtenberg explores how machine learning can enhance decision-making in operational and real-time road freight transport planning. She outlines an implementation guideline, which involves identifying decision tasks in planning processes, assessing their suitability for machine learning, and proposing steps to follow when implementing respective algorithms.
This book constitutes the refereed proceedings of the 8th International Conference on Distributed Computing and Internet Technology, ICDCIT 2012, held in Bhubaneswar, India, in February 2012. The 17 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from 89 submissions. In addition the book contains the full versions of 6 invited talks. The papers range over a spectrum of issues related to the theme, covering theoretical foundations, computational tools, and societal applications. State of the art techniques like game theoretic ones are used by authors for analyzing conceptual problems.
Almost three hundred years after its first publication, Roxana continues to challenge readers, who, though compelled by Roxana’s story, are often baffled by her complex relationships to her children, her fortune, and her vices. As one of Daniel Defoe’s four major fictions, Roxana has long been understood as central to the history of the novel, and provides readers with Defoe’s sharpest and most specific commentary on the complexities of life in seventeenth-century London. This edition offers a range of contemporary documents that will help readers understand the struggles of Roxana’s life as series of metaphoric engagements with pressing issues of her time.
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This book provides readers to the vision of Society 5.0, which was originally proposed in the fifth Basic Science and Technology Plan by Japan’s government for a technology-based, human-centered society, emerging from the fourth industrial revolution (Industry 4.0). The implementation of AI and other modern techniques in a smart society requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network. Features Provides an overview of basic concepts of Society 5.0 as well as the main pillars that support the implementation of Society 5.0. Contains the most recent research analysis in the domain of computer vision, signal pr...