1000 resultados para University of Illinois at Urbana-Champaign. Information Engineering Laboratory


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"Working paper no. 1."

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"Project IHR-517, Illinois Cooperative Highway Research Program."

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"Project: 88/062."

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"Report no. FHWA-IL-UI-278"--Technical report documentation page.

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"The text of the following study was prepared by my secretaries beginning with Dr. E.J. Filbey and ending with Mr. Gerald D. Swope."--Pref.

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Report year irregular.

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Caption title.

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Mode of access: Internet.

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The challenge of detecting a change in the distribution of data is a sequential decision problem that is relevant to many engineering solutions, including quality control and machine and process monitoring. This dissertation develops techniques for exact solution of change-detection problems with discrete time and discrete observations. Change-detection problems are classified as Bayes or minimax based on the availability of information on the change-time distribution. A Bayes optimal solution uses prior information about the distribution of the change time to minimize the expected cost, whereas a minimax optimal solution minimizes the cost under the worst-case change-time distribution. Both types of problems are addressed. The most important result of the dissertation is the development of a polynomial-time algorithm for the solution of important classes of Markov Bayes change-detection problems. Existing techniques for epsilon-exact solution of partially observable Markov decision processes have complexity exponential in the number of observation symbols. A new algorithm, called constellation induction, exploits the concavity and Lipschitz continuity of the value function, and has complexity polynomial in the number of observation symbols. It is shown that change-detection problems with a geometric change-time distribution and identically- and independently-distributed observations before and after the change are solvable in polynomial time. Also, change-detection problems on hidden Markov models with a fixed number of recurrent states are solvable in polynomial time. A detailed implementation and analysis of the constellation-induction algorithm are provided. Exact solution methods are also established for several types of minimax change-detection problems. Finite-horizon problems with arbitrary observation distributions are modeled as extensive-form games and solved using linear programs. Infinite-horizon problems with linear penalty for detection delay and identically- and independently-distributed observations can be solved in polynomial time via epsilon-optimal parameterization of a cumulative-sum procedure. Finally, the properties of policies for change-detection problems are described and analyzed. Simple classes of formal languages are shown to be sufficient for epsilon-exact solution of change-detection problems, and methods for finding minimally sized policy representations are described.

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In the rapidly growing knowledge economy, the talent and creativity of those around us will be increasingly decisive in shaping economic opportunity. Creativity can be described as the ability to produce new and original ideas and things. In other words, it is any act, idea, or product that changes an existing domain or transforms an existing domain into a new one. From an economic perspective, creativity can be considered as the generation of new ideas that is the major source of innovation and new economic activities. As urban regions have become the localities of key knowledge precincts and knowledge clusters across the globe, the link between a range of new technologies and the development of ‘creative urban regions’ (CURs) has come to the fore. In this sense, creativity has become a buzz concept in knowledge-economy research and policy circles. It has spawned ‘creative milieus,’ ‘creative industries,’ ‘creative cities,’ ‘creative class,’ and ‘creative capital.’ Hence, creativity has become a key concept on the agenda of city managers, development agents, and planners as they search for new forms of urban and economic development. CURs provide vast opportunities for knowledge production and spillover, which lead to the formation of knowledge cities. Urban information and communication technology (ICT) developments support the transformation of cities into knowledge cities. This book, which is a companion volume to Knowledge-Based Urban Development: Planning and Applications in the Information Era (also published by IGI Global) focuses on some of these developments. The Forward and Afterword are written by senior respected academic researchers Robert Stimson of the University of Queensland, Australia, and Zorica Nedovic-Budic of the University of Illinois at Urbana-Champaign, USA. The book is divided into four sections, each one dealing with selected aspects of information and communication technologies and creative urban regions.

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Acquisition made accessible thanks to a 2015-2017 grant from the Council on Libraries and Information Resources.