Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"IMPLEMENT SYSTEMS ANALYSIS TOOLS IN SUSTAINABLE ENGINEERINGFeaturing a multidisciplinary approach, Systems Analysis for Sustainable Engineering: Theory and Applications provides a proven framework for applying systems analysis tools to account for environmental impacts, energy efficiency, cost-effectiveness, socioeconomic implications, and ecosystem health in engineering solutions.This pioneering work addresses the increased levels of sophistication embedded in many complex large-scale infrastructure systems and their interactions with the natural environment. After a detailed overview of sustainable systems engineering, the book covers mathematical theories of systems analysis, environmental resources management, industrial ecology, and sustainable design. Real-world examples highlight the methodologies presented in this authoritative resource.COVERAGE INCLUDES: Structured systems analysis for sustainable design Systems analysis and sustainable management strategies Ecomomic valuation, instruments, and project selection Statistical forecasting models Linear, nonlinear, integer, and dynamic programming models Multicriteria decision analyses System dynamics models and simulation analyses Water resources and quality management Air quality management Solid waste management Soil and groundwater remediation planning Industrial ecology and sustainability Green building and green infrastructure systems Energy resources management and energy systems engineering Land resources management and agricultural sustainability"-- "This in-depth guide provides a framework for the proper application of systems analysis tools to account for environmental impacts, energy efficiencies, cost-effectiveness, socioeconomic implications, and ecosystem health in engineering solutions"--

System analysis. --- Sustainable engineering. --- TECHNOLOGY & ENGINEERING / Environmental / General. --- Technology & engineering / environmental / general. --- Sustainable engineering --- System analysis --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Engineering sustainability --- Green engineering --- Engineering --- Green technology --- Environmental engineering --- Network analysis --- Network science

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Conceptual modeling is about describing the semantics of software applications at a high level of abstraction in terms of structure, behavior, and user interaction. Embley and Thalheim start with a manifesto stating that the dream of developing information systems strictly by conceptual modeling – as expressed in the phrase “the model is the code” – is becoming reality. The subsequent contributions written by leading researchers in the field support the manifesto's assertions, showing not only how to abstractly model complex information systems but also how to formalize abstract specifications in ways that let developers complete programming tasks within the conceptual model itself. They are grouped into sections on programming with conceptual models, structure modeling, process modeling, user interface modeling, and special challenge areas such as conceptual geometric modeling, information integration, and biological conceptual modeling. The Handbook of Conceptual Modeling collects in a single volume many of the best conceptual-modeling ideas, techniques, and practices as well as the challenges that drive research in the field. Thus it is much more than a traditional handbook for advanced professionals, as it also provides both a firm foundation for the field of conceptual modeling, and points researchers and graduate students towards interesting challenges and paths for how to contribute to this fundamental field of computer science.

Information Technology --- Software Engineering --- Computer science. --- Software engineering. --- Engineering & Applied Sciences --- Computer Science --- Computer simulation. --- System analysis. --- System analysis --- Data processing. --- Network theory --- Systems analysis --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Computer Science. --- Software Engineering. --- Information Systems Applications (incl. Internet). --- Computer software engineering --- Engineering --- Informatics --- Science --- Network analysis --- Network science --- System theory --- Mathematical optimization --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A  tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. It begins with four chapters developing the most significant formal-theoretical issues of network modeling, but the majority of the book is devoted to combining theoretical results with an empirical analysis of real networks. Specific topics include: chemical graph theory ecosystem interaction dynamics social ontologies language networks software systems This work marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines. As such, it can serve as a valuable resource for a diverse audience of advanced students and professional scientists. It is primarily intended as a reference for research, but could also be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others.

System analysis --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Operations Research --- Mathematical Theory --- Computer Science --- System analysis. --- Network theory --- Systems analysis --- Mathematics. --- Coding theory. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Information theory. --- Biomathematics. --- Electrical engineering. --- Information and Communication, Circuits. --- Coding and Information Theory. --- Physiological, Cellular and Medical Topics. --- Communications Engineering, Networks. --- Artificial Intelligence (incl. Robotics). --- Applications of Mathematics. --- Network analysis --- Network science --- System theory --- Mathematical optimization --- Physiology --- Telecommunication. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Animal physiology --- Animals --- Biology --- Anatomy --- Data compression (Telecommunication) --- Digital electronics --- Signal theory (Telecommunication) --- Computer programming --- Math --- Science --- Engineering --- Engineering analysis --- Mathematical analysis --- Electric engineering --- Communication theory --- Cybernetics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is a tribute to Etienne E. Kerre on the occasion of his retirement on October 1st, 2010, after being active for 35 years in the field of fuzzy set theory. It gathers contributions from researchers that have been close to him in one way or another during his long and fruitful career. Besides a foreword by Lotfi A. Zadeh, it contains 13 chapters on both theoretical and applied topics in fuzzy set theory, divided in three parts: 1) logics and connectives, 2) data analysis, and 3) media applications. The first part deals with fuzzy logics and with operators on (extensions of) fuzzy sets. Part 2 deals with fuzzy methods in rough set theory, formal concept analysis, decision making and classification. The last part discusses the use of fuzzy methods for representing and manipulating media objects, such as images and text documents. The diversity of the topics that are covered reflect the diversity of Etienne's research interests, and indeed, the diversity of current research in the area of fuzzy set theory.

Fuzzy sets. --- Set theory. --- Fuzzy systems. --- System analysis. --- Mathematical models. --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Models, Mathematical --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Systems, Fuzzy --- System analysis --- Fuzzy logic --- Aggregates --- Classes (Mathematics) --- Ensembles (Mathematics) --- Mathematical sets --- Sets (Mathematics) --- Theory of sets --- Logic, Symbolic and mathematical --- Mathematics --- Sets, Fuzzy --- Fuzzy mathematics --- Set theory --- Artificial Intelligence.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Business processes have emerged as a well-respected variable in the design of successful corporations. However, unlike other key managerial variables, such as products and services, customers and employees, physical or digital assets, the conceptualization and management of business processes are in many respects in their infancy. In this book, Jan Recker investigates the notion of quality of business process modeling grammars. His evaluation is based on an ontological-, qualitative-, and quantitative analysis, applied to BPMN, a widely-used business process modeling grammar. His results reveal the ontological shortcomings of BPMN and how these manifest themselves in actual process modeling practice, as well as how they influence the usage behavior of modeling practitioners. More generally, his book constitutes a landmark for empirical technology assessment, analyzing the way in which design flaws in technology influence usage behavior.

Commerce --- Business & Economics --- Commerce - General --- System analysis. --- Business planning --- Object-oriented methods (Computer science) --- Reengineering (Management) --- Industrial management --- Data processing. --- Mathematical models. --- Quantitative business analysis --- Business process reengineering --- Re-engineering (Management) --- Object development methods (Computer science) --- Object orientation (Computer science) --- Object-oriented development (Computer science) --- Object technology (Computer science) --- Network theory --- Systems analysis --- Business. --- Management. --- Industrial management. --- Information technology. --- Business --- Application software. --- Business and Management. --- IT in Business. --- Computer Appl. in Administrative Data Processing. --- Information Systems Applications (incl. Internet). --- Innovation/Technology Management. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Electronic data processing --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Industrial organization --- Administration --- Industrial relations --- Organization --- Trade --- Economics --- Business mathematics --- System design --- Network analysis --- Network science --- System theory --- Mathematical optimization --- Information systems. --- Business—Data processing. --- Business information services. --- Information technology --- Technological innovations. --- Computer Application in Administrative Data Processing. --- Computer and Information Systems Applications. --- Innovation and Technology Management. --- Breakthroughs, Technological --- Innovations, Industrial --- Innovations, Technological --- Technical innovations --- Technological breakthroughs --- Technological change --- Creative ability in technology --- Inventions --- Domestication of technology --- Innovation relay centers --- Research, Industrial --- Technology transfer --- Information services