modeling time in computing

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Modeling Time In Computing

Author : Carlo A. Furia
ISBN : 9783642323324
Genre : Computers
File Size : 30. 66 MB
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Models that include a notion of time are ubiquitous in disciplines such as the natural sciences, engineering, philosophy, and linguistics, but in computing the abstractions provided by the traditional models are problematic and the discipline has spawned many novel models. This book is a systematic thorough presentation of the results of several decades of research on developing, analyzing, and applying time models to computing and engineering. After an opening motivation introducing the topics, structure and goals, the authors introduce the notions of formalism and model in general terms along with some of their fundamental classification criteria. In doing so they present the fundamentals of propositional and predicate logic, and essential issues that arise when modeling time across all types of system. Part I is a summary of the models that are traditional in engineering and the natural sciences, including fundamental computer science: dynamical systems and control theory; hardware design; and software algorithmic and complexity analysis. Part II covers advanced and specialized formalisms dealing with time modeling in heterogeneous software-intensive systems: formalisms that share finite state machines as common “ancestors”; Petri nets in many variants; notations based on mathematical logic, such as temporal logic; process algebras; and “dual-language approaches” combining two notations with different characteristics to model and verify complex systems, e.g., model-checking frameworks. Finally, the book concludes with summarizing remarks and hints towards future developments and open challenges. The presentation uses a rigorous, yet not overly technical, style, appropriate for readers with heterogeneous backgrounds, and each chapter is supplemented with detailed bibliographic remarks and carefully chosen exercises of varying difficulty and scope. The book is aimed at graduate students and researchers in computer science, while researchers and practitioners in other scientific and engineering disciplines interested in time modeling with a computational flavor will also find the book of value, and the comparative and conceptual approach makes this a valuable introduction for non-experts. The authors assume a basic knowledge of calculus, probability theory, algorithms, and programming, while a more advanced knowledge of automata, formal languages, and mathematical logic is useful.

Advances In Computing Science Asian 2002 Internet Computing And Modeling Grid Computing Peer To Peer Computing And Cluster Computing

Author : Jean-Marie Alain
ISBN : 9783540001959
Genre : Computers
File Size : 59. 31 MB
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This book constitutes the refereed proceedings of the 7th Asian Computing Science Conference, ASIAN 2002, held in Hanoi, Vietnam in December 2002. The 17 revised full papers presented together with two invited contributions were carefully reviewed and selected from 30 submissions. The conference was devoted to Internet computing and modeling, grid computing, peer-to-peer systems, and cluster computing. Among the issues addressed are scalable infrastructure for global data grids, distributed checkpointing, list coloring, parallel debugging, combinatorial optimization, video on demand servers, caching, grid environments, network enabled servers, multicast communication, dynamic resource allocation, traffic engineering, path-vector protocols, Web-based Internet broadcasting, Web-based middleware, and subscription-based Internet services.

Paradigms In Computing

Author : David Jason Gerber
ISBN : 9781938740114
Genre : Architecture
File Size : 60. 20 MB
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Paradigms in Computing: Making, Machines, and Models for Design Agency in Architecture brings together critical, theoretical, and practical research and design that illustrates the plurality of computing approaches within the broad spectrum of design and mediated practices. It is an interrogation of our primary field of architecture through the lens of computing, and yet one that realizes a productive expanding of our métier’s definition and boundaries. It is a compilation that purposefully promotes architecture’s disciplinary reach and incorporations beyond the design and construction of buildings and cities. The book offers a glimpse into the wide range of positions and experiences that are shaping practice and discourse today. The work included in Paradigms in Computing is evidence that models for enquiry are many and proliferating. As digitalization and computation continue to infuse our processes with new tools and new design environments, some of the trends collected in this book will continue to be central to the production and speculation of architecture, and others will, in retrospect, be recognized as the seeds of new, or perhaps multiple, paradigms. Included are essays and projects, from; Alisa Andrasek, Rachel Armstrong, Philip Beesley, Tom Bessai, Shajay Bhooshan, Brad Cantrel, Matias Del Campo, Pablo Eiroa, Marc Fornes, David Jason Gerber, Maria Paz Gutierrez, Alvin Huang, Jason Kelly Johnson, Simon Kim, Neil Leach, Greg Lynn, Elena and Anna Maria Manferdini, Alex McDowell, Phillippe Morel, Nick Puckett, Casey Reas, Alex Robinson, Jenny Sabin, Jose Sanchez, Patrik Schumacher, Kyle Steinfeld, Satoru Sugihara, Orkan Telhan, Kathy Velikov and Geoffrey Thun, Tom Verebes, Leire Asensio Villoria and David Mah, Jenny Wu, Eric Howeler and Meejin Yoon, and Zaha Hadid Architects.

Modeling Embedded Systems And Soc S

Author : Axel Jantsch
ISBN : 9780080511825
Genre : Computers
File Size : 32. 42 MB
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Over the last decade, advances in the semiconductor fabrication process have led to the realization of true system-on-a-chip devices. But the theories, methods and tools for designing, integrating and verifying these complex systems have not kept pace with our ability to build them. System level design is a critical component in the search for methods to develop designs more productively. However, there are a number of challenges that must be overcome in order to implement system level modeling. This book directly addresses that need by developing organizing principles for understanding, assessing, and comparing the different models of computation necessary for system level modeling. Dr. Axel Jantsch identifies the representation of time as the essential feature for distinguishing these models. After developing this conceptual framework, he presents a single formalism for representing very different models, allowing them to be easily compared. As a result, designers, students, and researchers are able to identify the role and the features of the "right" model of computation for the task at hand. *Offers a unique and significant contribution to the emerging field of models of computation *Presents a systematic way of understanding and applying different Models of Computation to embedded systems and SoC design *Offers insights and illustrative examples for practioners, researchers and students of complex electronic systems design.

Multiscale Modeling Of Cardiac Electrophysiology Adaptation To Atrial And Ventricular Rhythm Disorders And Pharmacological Treatment

Author : Mathias Wilhelms
ISBN : 9783731500452
Genre :
File Size : 33. 24 MB
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Advances In Computing And Information Icci 91

Author : Frank Dehne
ISBN : 3540540296
Genre : Computers
File Size : 77. 95 MB
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These ICCI '91 proceedings present original results in research, development, and applications in computing and information processing. Topics: algorithms and complexity, databases and information systems, parallel processing and systems, distributed computing and systems, expert systems and AI.

Time Series Analysis Modeling And Applications

Author : Witold Pedrycz
ISBN : 9783642334399
Genre : Computers
File Size : 90. 40 MB
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Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.

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