Computer Science U Of U

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  computer science u of u: Listening to Rosita Mary Ann Villarreal, 2015-10-20 Everybody in the bar had to drop a quarter in the jukebox or be shamed by “Momo” Villarreal. It wasn’t about the money, Mary Ann Villarreal’s grandmother insisted. It was about the music—more songs for all the patrons of the Pecan Lounge in Tivoli, Texas. But for Mary Ann, whose schoolbooks those quarters bought, the money didn’t hurt. When as an adult Villarreal began to wonder how the few recordings of women singers made their way into that jukebox, questions about the money seemed inseparable from those about the music. In Listening to Rosita, Villarreal seeks answers by pursuing the story of a small group of Tejana singers and entrepreneurs in Corpus Christi, Houston, and San Antonio—the “Texas Triangle”—during the mid-twentieth century. Ultimately she recovers a social world and cultural landscape in central south Texas where Mexican American women negotiated the shifting boundaries of race and economics to assert a public presence. Drawing on oral history, interviews, and insights from ethnic and gender studies, Listening to Rosita provides a counternarrative to previous research on la música tejana, which has focused almost solely on musicians or musical genres. Villarreal instead chronicles women’s roles and contributions to the music industry. In spotlighting the sixty-year singing career of San Antonian Rosita Fernández, the author pulls the curtain back on all the women whose names and stories have been glaringly absent from the ethnic and economic history of Tejana music and culture. In this oral history of the Tejana cantantes who performed and owned businesses in the Texas Triangle, Listening to Rosita shows how ethnic Mexican entrepreneurs developed a unique identity in striving for success in a society that demeaned and segregated them. In telling their story, this book supplies a critical chapter long missing from the history of the West.
  computer science u of u: Learning Networks Linda Marie Harasim, 1995 The field; Learning networks: an introduction; Networks for schools: exemplars and experiences; Networks for higher education, training, and informal learning: exemplares and experiences; The guide; Designs for learning networks; Getting started: the implementation process; Teaching online; Learning online; Problems in paradise: expect the best, prepare for the worst; The future; New directions; Network learning: a paradign for the twenty-first century; Epilogue: email from the future; Appendixes; Indice.
  computer science u of u: Computer Science Logic Anuj Dawar, Helmut Veith, 2010-08-14 Annotation. This volume constitutes the refereed proceedings of the 24th International Workshop on Computer Science Logic, CSL 2010, held in Brno, Czech Republic, in August 2010. The 33 full papers presented together with 7 invited talks, were carefully reviewed and selected from 103 submissions. Topics covered include automated deduction and interactive theorem proving, constructive mathematics and type theory, equational logic and term rewriting, automata and games, modal and temporal logic, model checking, decision procedures, logical aspects of computational complexity, finite model theory, computational proof theory, logic programming and constraints, lambda calculus and combinatory logic, categorical logic and topological semantics, domain theory, database theory, specification, extraction and transformation of programs, logical foundations of programming paradigms, verification and program analysis, linear logic, higher-order logic, and nonmonotonic reasoning.
  computer science u of u: Autonomic Computing Manish Parashar, Salim Hariri, 2018-10-03 The complexity of modern computer networks and systems, combined with the extremely dynamic environments in which they operate, is beginning to outpace our ability to manage them. Taking yet another page from the biomimetics playbook, the autonomic computing paradigm mimics the human autonomic nervous system to free system developers and administrators from performing and overseeing low-level tasks. Surveying the current path toward this paradigm, Autonomic Computing: Concepts, Infrastructure, and Applications offers a comprehensive overview of state-of-the-art research and implementations in this emerging area. This book begins by introducing the concepts and requirements of autonomic computing and exploring the architectures required to implement such a system. The focus then shifts to the approaches and infrastructures, including control-based and recipe-based concepts, followed by enabling systems, technologies, and services proposed for achieving a set of self-* properties, including self-configuration, self-healing, self-optimization, and self-protection. In the final section, examples of real-world implementations reflect the potential of emerging autonomic systems, such as dynamic server allocation and runtime reconfiguration and repair. Collecting cutting-edge work and perspectives from leading experts, Autonomic Computing: Concepts, Infrastructure, and Applications reveals the progress made and outlines the future challenges still facing this exciting and dynamic field.
  computer science u of u: Engineering Genetic Circuits Chris J. Myers, 2016-04-19 This text presents the modeling, analysis, and design methods for systems biology. It discusses how to examine experimental data to learn about mathematical models, develop efficient abstraction and simulation methods to analyze these models, and use analytical methods to design new circuits. The author reviews basic molecular biology and biochemistry principles, covers several methods for modeling and analyzing genetic circuits, and uses phage lambda as an example throughout to help illustrate the methods. He also explores the emerging area of synthetic biology. iBioSim software, lecture slides, and a password-protected solutions manual are available on the author's website.
  computer science u of u: The Algorithmic Image Robert Rivlin, 1986
  computer science u of u: A Modern Introduction to Probability and Statistics F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, 2006-03-30 Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
  computer science u of u: SOFSEM 2024 Henning Fernau, Serge Gaspers, Ralf Klasing, 2024 This book constitutes the proceedings of the 49th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2024, held in Cochem, Germany, in February 2024. The 33 full papers presented in this book were carefully reviewed and selected from 81 submissions. The book also contains one invited talk in full paper length. They focus on original research and challenges in foundations of computer science including algorithms, AI-based methods, computational complexity, and formal models.
  computer science u of u: Russia in Asia Jane F. Hacking, Jeffrey S. Hardy, Matthew P. Romaniello, 2020-07-22 This edited volume presents new research on Russian-Asian connections by historians, art historians, literary scholars, and linguists. Of particular interest are imagined communities, social networks, and the legacy of colonialism in this important arena of global exchanges within the imperial, Soviet, and post-Soviet eras. Individual chapters investigate how Russians imagined Asia and its inhabitants, how these different populations interacted across political and cultural divides, and how people in Siberia, China, and other parts of Asia reacted to Russian imperialism, both in its formal and informal manifestations. A key strength of this volume is its interdisciplinary approach to the topic, challenging readers to synthesize multiple analytical lenses to better understand the multivalent connections binding Russia and Asia together.
  computer science u of u: Where Mathematics, Computer Science, Linguistics and Biology Meet Carlos Martín-Vide, V. Mitrana, 2013-03-14 In the last years, it was observed an increasing interest of computer scientists in the structure of biological molecules and the way how they can be manipulated in vitro in order to define theoretical models of computation based on genetic engineering tools. Along the same lines, a parallel interest is growing regarding the process of evolution of living organisms. Much of the current data for genomes are expressed in the form of maps which are now becoming available and permit the study of the evolution of organisms at the scale of genome for the first time. On the other hand, there is an active trend nowadays throughout the field of computational biology toward abstracted, hierarchical views of biological sequences, which is very much in the spirit of computational linguistics. In the last decades, results and methods in the field of formal language theory that might be applied to the description of biological sequences were pointed out.
  computer science u of u: Ultrasonic Bioinstrumentation Douglas Christensen, 1988-03-14 The wave equation and its solutions. Impedance, power, and reflection. Acoustical properties of biological tissues. Transducers, beam patterns, and resolution. Diagnostic imaging configurations. Doppler and other ultrasonic flowmeters. The safety and measurement of ultrasound.
  computer science u of u: Peterson's Colleges in the West , 2009
  computer science u of u: Probability and Statistics for Computer Science James L. Johnson, 2003-07-22 Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: to present the mathematical analysis underlying probability results Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content
  computer science u of u: Computer Science for Environmental Engineering and EcoInformatics Yuanxu Yu, Zhengtao Yu, Jingying Zhao, 2011-07-18 This two-volume set (CCIS 158 and CCIS 159) constitutes the refereed proceedings of the International Workshop on Computer Science for Environmental Engineering and EcoInformatics, CSEEE 2011, held in Kunming, China, in July 2011. The 150 revised full papers presented in both volumes were carefully reviewed and selected from a large number of submissions. The papers are organized in topical sections on computational intelligence; computer simulation; computing practices and applications; ecoinformatics; image processing information retrieval; pattern recognition; wireless communication and mobile computing; artificial intelligence and pattern classification; computer networks and Web; computer software, data handling and applications; data communications; data mining; data processing and simulation; information systems; knowledge data engineering; multimedia applications.
  computer science u of u: Hashing in Computer Science Alan G. Konheim, 2010-12-07 Written by one of the developers of the technology, Hashing is both a historical document on the development of hashing and an analysis of the applications of hashing in a society increasingly concerned with security. The material in this book is based on courses taught by the author, and key points are reinforced in sample problems and an accompanying instructor s manual. Graduate students and researchers in mathematics, cryptography, and security will benefit from this overview of hashing and the complicated mathematics that it requires.
  computer science u of u: The New ABCs of Research Ben Shneiderman, 2016-02-04 The problems we face in the 21st century require innovative thinking from all of us. Be it students, academics, business researchers of government policy makers. Hopes for improving our healthcare, food supply, community safety and environmental sustainability depend on the pervasive application of research solutions. The research heroes who take on the immense problems of our time face bigger than ever challenges, but if they adopt potent guiding principles and effective research lifecycle strategies, they can produce the advances that will enhance the lives of many people. These inspirational research leaders will break free from traditional thinking, disciplinary boundaries, and narrow aspirations. They will be bold innovators and engaged collaborators, who are ready to lead, yet open to new ideas, self-confident, yet empathetic to others. In this book, Ben Shneiderman recognizes the unbounded nature of human creativity, the multiplicative power of teamwork, and the catalytic effects of innovation. He reports on the growing number of initiatives to promote more integrated approaches to research so as to promote the expansion of these efforts. It is meant as a guide to students and junior researchers, as well as a manifesto for senior researchers and policy makers, challenging widely-held beliefs about how applied innovations evolve and how basic breakthroughs are made, and helping to plot the course towards tomorrow's great advancements.
  computer science u of u: Future Communication, Information and Computer Science Dawei Zheng, 2015-02-05 The 2014 International Conference on Future Communication, Information and Computer Science (FCICS 2014) was held May 22-23, 2014 in Beijing, China. The objective of FCICS 2014 was to provide a platform for researchers, engineers and academics as well as industrial professionals from all over the world to present their research results and development activities in Computer, Network and Information Technology and Communication Engineering.
  computer science u of u: Computer Science -- Theory and Applications Edward Hirsch, Juhani Karhumäki, Arto Lepistö, Michail Prilutskii, 2012-08-11 This book constitutes the proceedings of the 7th International Computer Science Symposium in Russia, CSR 2012, held in Nizhny Novgorod in July 2012. The 28 full papers presented in this volume were carefully reviewed and selected from 66 submissions. CSR 2012 was one of the events of the Alan Turing Year 2012, the topics dealt with cover substantial parts of theoretical computer science and its applications.
  computer science u of u: Computer Science – Theory and Applications Alexander S. Kulikov, Gerhard J. Woeginger, 2016-06-02 This book constitutes the proceedings of the 11th International Computer Science Symposium in Russia, CSR 2016, held in St. Petersburg, Russia, in June 2016. The 28 full papers presented in this volume were carefully reviewed and selected from 71 submissions. In addition the book contains 4 invited lectures. The scope of the proposed topics is quite broad and covers a wide range of areas such as: include, but are not limited to: algorithms and data structures; combinatorial optimization; constraint solving; computational complexity; cryptography; combinatorics in computer science; formal languages and automata; computational models and concepts; algorithms for concurrent and distributed systems, networks; proof theory and applications of logic to computer science; model checking; automated reasoning; and deductive methods.
  computer science u of u: Graph-Theoretic Concepts in Computer Science Rolf H. Möhring, 1991-04-24 This volume gives the proceedings of WG '90, the 16th in a series of workshops. The aim of the workshop series is to contribute to integration in computer science by applying graph-theoretic concepts. The workshops are unusual in that they combine theoretical aspects with practice and applications. The volume is organized into sections on: - Graph algorithms and complexity, - VLSI layout, - Multiprocessor systems and concurrency, - Computational geometry, - Graphs, languages and databases, - Graph grammars. The volume contains revised versions of nearly all the papers presented at the workshop. Several papers take the form of preliminary reports on ongoing research.
  computer science u of u: Computer Science -- Theory and Applications Dima Grigoriev, John Harrison, Edward A. Hirsch, 2006-04-27 This book constitutes the refereed proceedings of the First International Symposium on Computer Science in Russia, CSR 2006. The 35 revised full theory papers and 29 revised application papers together with 3 invited talks address all major areas in computer science are addressed. The theory track deals with algorithms, protocols, data structures and more. The application part comprises programming and languages; computer architecture and hardware design among many more topics.
  computer science u of u: Computer Science Edward K. Blum, Alfred V Aho, 2011-12-02 Computer Science: The Hardware, Software and Heart of It focuses on the deeper aspects of the two recognized subdivisions of Computer Science, Software and Hardware. These subdivisions are shown to be closely interrelated as a result of the stored-program concept. Computer Science: The Hardware, Software and Heart of It includes certain classical theoretical computer science topics such as Unsolvability (e.g. the halting problem) and Undecidability (e.g. Godel’s incompleteness theorem) that treat problems that exist under the Church-Turing thesis of computation. These problem topics explain inherent limits lying at the heart of software, and in effect define boundaries beyond which computer science professionals cannot go beyond. Newer topics such as Cloud Computing are also covered in this book. After a survey of traditional programming languages (e.g. Fortran and C++), a new kind of computer Programming for parallel/distributed computing is presented using the message-passing paradigm which is at the heart of large clusters of computers. This leads to descriptions of current hardware platforms for large-scale computing, such as clusters of as many as one thousand which are the new generation of supercomputers. This also leads to a consideration of future quantum computers and a possible escape from the Church-Turing thesis to a new computation paradigm. The book’s historical context is especially helpful during this, the centenary of Turing's birth. Alan Turing is widely regarded as the father of Computer Science, since many concepts in both the hardware and software of Computer Science can be traced to his pioneering research. Turing was a multi-faceted mathematician-engineer and was able to work on both concrete and abstract levels. This book shows how these two seemingly disparate aspects of Computer Science are intimately related. Further, the book treats the theoretical side of Computer Science as well, which also derives from Turing's research. Computer Science: The Hardware, Software and Heart of It is designed as a professional book for practitioners and researchers working in the related fields of Quantum Computing, Cloud Computing, Computer Networking, as well as non-scientist readers. Advanced-level and undergraduate students concentrating on computer science, engineering and mathematics will also find this book useful.
  computer science u of u: Foundations of Computer Science Alfred V. Aho, Jeffrey D. Ullman, 1994-10-15
  computer science u of u: Relational and Algebraic Methods in Computer Science Uli Fahrenberg, Peter Jipsen, Michael Winter, 2020-04-01 This book constitutes the proceedings of the 18th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2020, which was due to be held in Palaiseau, France, in April 2020. The conference was cancelled due to the COVID-19 pandemic. The 20 full papers presented together with 3 invited abstracts were carefully selected from 29 submissions. Topics covered range from mathematical foundations to applications as conceptual and methodological tools in computer science and beyond.
  computer science u of u: Mining of Massive Datasets Jure Leskovec, Jurij Leskovec, Anand Rajaraman, Jeffrey David Ullman, 2014-11-13 Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
  computer science u of u: Advances in FDTD Computational Electrodynamics Allen Taflove, Ardavan Oskooi, Steven G. Johnson, 2013 Advances in photonics and nanotechnology have the potential to revolutionize humanitys ability to communicate and compute. To pursue these advances, it is mandatory to understand and properly model interactions of light with materials such as silicon and gold at the nanoscale, i.e., the span of a few tens of atoms laid side by side. These interactions are governed by the fundamental Maxwells equations of classical electrodynamics, supplemented by quantum electrodynamics. This book presents the current state-of-the-art in formulating and implementing computational models of these interactions. Maxwells equations are solved using the finite-difference time-domain (FDTD) technique, pioneered by the senior editor, whose prior Artech House books in this area are among the top ten most-cited in the history of engineering. This cutting-edge resource helps readers understand the latest developments in computational modeling of nanoscale optical microscopy and microchip lithography, as well as nanoscale plasmonics and biophotonics.
  computer science u of u: Foundations of Computer Science Wilfried Brauer, 1997-10-24 Content Description #Dedicated to Wilfried Brauer.#Includes bibliographical references and index.
  computer science u of u: Computer Science - Theory and Applications Edward A. Hirsch, Alexander A. Razborov, Alexei Semenov, Anatol Slissenko, 2008-05-08 The Third International Computer Science Symposium in Russia (CSR-2008) was held during June 7–12, 2008 in Moscow, Russia, hosted by Dorodnicyn Computing Centre of Russian Academy of Sciences, Institute for System P- gramming of Russian Academy of Sciences, Moscow State University, Moscow Institute of Open Education,andInstitute ofNew Technologies.It was the third event in the series of regular international meetings following CSR-2006 in St. Petersburg and CSR-2007 in Ekaterinburg. The symposiumwascomposedof twotracks:Theory andApplications/Te- nology.The opening lecture was given by Avi Wigdersonand eight other invited plenarylecturesweregivenby EricAllender,ZurabKhasidashvili,LeonidLevin, Pavel Pudl´ ak, Florin Spanachi, Limsoon Wong, Yuri Zhuravlev and Konstantin Rudakov, and Uri Zwick. This volume contains the accepted papers of both tracks and also some of the abstracts of the invited speakers. The scope of the proposed topics for the symposium was quite broad and covered basically all areas of computer science and its applications. We received 103 papers in total. The Program Committee of the Theory Track selected 27 papers out of 62 submissions. The Program Committee of the Applications/Technology Track selected 6 papers out of 41 submissions.
  computer science u of u: Parallel Scientific Computing in C++ and MPI George Em Karniadakis, Robert M. Kirby II, 2003-06-16 Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.
  computer science u of u: Relational and Algebraic Methods in Computer Science Wolfram Kahl, Timothy G. Griffin, 2012-09-12 This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 13, held in Cambridge, UK, in September 2012. The 23 revised full papers presented were carefully selected from 39 submissions in the general area of relational and algebraic methods in computer science, adding special focus on formal methods for software engineering, logics of programs and links with neighboring disciplines. The papers are structured in specific fields on applications to software specification and correctness, mechanized reasoning in relational algebras, algebraic program derivation, theoretical foundations, relations and algorithms, and properties of specialized relations.
  computer science u of u: Performance Tuning of Scientific Applications David H. Bailey, Robert F. Lucas, Samuel Williams, 2010-11-23 With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas.Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring perf
  computer science u of u: Logical Foundations of Computer Science Sergei Artemov, Anil Nerode, 2021-12-16 This book constitutes the refereed proceedings of the International Symposium on Logical Foundations of Computer Science, LFCS 2022, held in Deerfield Beach, FL, USA, in January 2022. The 23 revised full papers were carefully reviewed and selected from 35 submissions. The scope of the Symposium is broad and includes constructive mathematics and type theory; homotopy type theory; logic, automata, and automatic structures; computability and randomness; logical foundations of programming; logical aspects of computational complexity; parameterized complexity; logic programming and constraints; automated deduction and interactive theorem proving; logical methods in protocol and program verification; logical methods in program specification and extraction; domain theory logics; logical foundations of database theory; equational logic and term rewriting; lambda and combinatory calculi; categorical logic and topological semantics; linear logic; epistemic and temporal logics; intelligent and multiple-agent system logics; logics of proof and justification; non-monotonic reasoning; logic in game theory and social software; logic of hybrid systems; distributed system logics; mathematical fuzzy logic; system design logics; other logics in computer science.
  computer science u of u: Computing Statistics under Interval and Fuzzy Uncertainty Hung T. Nguyen, Vladik Kreinovich, Berlin Wu, Gang Xiang, 2011-11-03 In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of the measurement inaccuracy, but often, we only know the upper bound on this inaccuracy. In this case, we have interval uncertainty: e.g. if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1. In other cases, the values are expert estimates, and we only have fuzzy information about the estimation inaccuracy. This book shows how to compute statistics under such interval and fuzzy uncertainty. The resulting methods are applied to computer science (optimal scheduling of different processors), to information technology (maintaining privacy), to computer engineering (design of computer chips), and to data processing in geosciences, radar imaging, and structural mechanics.
  computer science u of u: Computer Engineering for Babies Chase Roberts, 2021-10-20 An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.
  computer science u of u: Queueing Networks and Markov Chains Gunter Bolch, Stefan Greiner, Hermann de Meer, Kishor S. Trivedi, 2006-04-14 Critically acclaimed text for computer performance analysis--now in its second edition The Second Edition of this now-classic text provides a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation. Thoroughly updated with new content, as well as new problems and worked examples, the text offers readers both the theory and practical guidance needed to conduct performance and reliability evaluations of computer, communication, and manufacturing systems. Starting with basic probability theory, the text sets the foundation for the more complicated topics of queueing networks and Markov chains, using applications and examples to illustrate key points. Designed to engage the reader and build practical performance analysis skills, the text features a wealth of problems that mirror actual industry challenges. New features of the Second Edition include: * Chapter examining simulation methods and applications * Performance analysis applications for wireless, Internet, J2EE, and Kanban systems * Latest material on non-Markovian and fluid stochastic Petri nets, as well as solution techniques for Markov regenerative processes * Updated discussions of new and popular performance analysis tools, including ns-2 and OPNET * New and current real-world examples, including DiffServ routers in the Internet and cellular mobile networks With the rapidly growing complexity of computer and communication systems, the need for this text, which expertly mixes theory and practice, is tremendous. Graduate and advanced undergraduate students in computer science will find the extensive use of examples and problems to be vital in mastering both the basics and the fine points of the field, while industry professionals will find the text essential for developing systems that comply with industry standards and regulations.
  computer science u of u: Rough Sets and Current Trends in Computing Shusaku Tsumoto, Roman Slowiński, Jan Komorowski, Jerzy W. Grzymala-Busse, 2004-06-16 In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.
  computer science u of u: Semantics of Systems of Concurrent Processes Irene Guessarian, Laboratoire informatique théorique et programmation (France), 1990-11-28 This volume contains the proceedings of the 1990 Spring School of Theoretical Computer Science, devoted to the semantics of concurrency. The papers are of two kinds: - surveys and tutorials introducing the subject to novices and students and giving updates of the state of the art, - research papers presenting recent achievements in the semantics of concurrency. The contributions explicate the connections, similarities and differences between various approaches to the semantics of concurrency, such as pomsets and metric semantics, event structures, synchronization trees, fixpoints and languages, traces, CCS and Petri nets, and categorical models. They also cover and compare the various notions of observation and bisimulation equivalences, logics for concurrency, and applications to dis- tributed systems.
  computer science u of u: Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing , 1998
  computer science u of u: SOFSEM 2015: Theory and Practice of Computer Science Giuseppe Italiano, Tiziana Margaria-Steffen, Jaroslav Pokorný, Jean-Jacques Quisquater, Roger Wattenhofer, 2015-01-14 This book constitutes the proceedings of the 41st International Conference on Current Trends in Theory and Practice of Computer Science held in Pec pod Sněžkou, Czech Republic, during January 24-29, 2015. The book features 8 invited talks and 42 regular papers which were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections named: foundations of computer science; software and Web engineering; data, information, and knowledge engineering; and cryptography, security, and verification.
  computer science u of u: 21 years Chapter-wise & Topic-wise GATE Computer Science & Information Technology Solved Papers (2020 - 2000) with 4 Online Practice Sets 7th Edition Disha Experts,
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