Papers from the April 1996 symposium address traditional simulation topics in discrete-event, continuous, digital, and analog simulation, and explore areas of distributed systems, network modeling, and simulation, as well as advances in simulation methodology and practices. Topics include parallel a
The proceedings of the April 1994 symposium include one invited paper (The Maisie Environment for Parallel Simulation by R.L. Bagrodia, V. Jha, and J. Waldorf) and 28 contributed papers on topics including: performance evaluation of a multimedia server for ATM networks; simulating a multiple segme
Simulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributio
Simulation of computer architectures has made rapid progress recently. The primary application areas are hardware/software performance estimation and optimization as well as functional and timing verification. Recent, innovative technologies such as retargetable simulator generation, dynamic binary translation, or sampling simulation have enabled widespread use of processor and system-on-chip (SoC) simulation tools in the semiconductor and embedded system industries. Simultaneously, processor and SoC simulation is still a very active research area, e.g. what amounts to higher simulation speed, flexibility, and accuracy/speed trade-offs. This book presents and discusses the principle technologies and state-of-the-art in high-level hardware architecture simulation, both at the processor and the system-on-chip level.
This book is based on the “Summer Simulation Multi-Conference” (SCSC), which has been a prominent platform for the dissemination of scholarly research in the M&S community for the last 50 years. In keeping with the conference’s seasonal title, the authors have called this half-century “the summer of simulation,” and it has led not only to simulation-based disciplines but also simulation as a discipline. This book discusses contributions from the SCSC in four sections. The first section is an introduction to the work. The second section is devoted to contributions from simulation research fellows who were associated with the SCSC, while the third section features the SCSC’s most influential contributions. Lastly, the fourth section includes contributions from the best papers in the last five years. Features: • A comprehensive volume dedicated to one of the simulation domain’s major conferences: the SCSC • Offers a scientometric analysis of the SCSC • Revisits high-impact topics from 50 years of the SCSC • Includes chapters by simulation research fellows associated with the SCSC • Presents updated best-paper contributions from the recent conference This work will be of value to anyone interested in the evolution of modeling and simulation over the last fifty years. Readers will gain a perspective on what drove this evolution, and develop an understanding of the key contributions that allowed this technology to grow into its own academic discipline and profession.
This book describes new, fuzzy logic-based mathematical apparatus, which enable readers to work with continuous variables, while implementing whole circuit simulations with speed, similar to gate-level simulators and accuracy, similar to circuit-level simulators. The author demonstrates newly developed principles of digital integrated circuit simulation and optimization that take into consideration various external and internal destabilizing factors, influencing the operation of digital ICs. The discussion includes factors including radiation, ambient temperature, electromagnetic fields, and climatic conditions, as well as non-ideality of interconnects and power rails.
Taking into account aspects of semantic world models and graph databases, Nico Hempe presents concepts for a new class of modern Multi-Domain VR Simulation Systems based on the principles of the research field of eRobotics. Nico Hempe not only shows how to overcome structural differences between rendering and simulation frameworks to allow attractive and intuitive representations of the generated results, he also demonstrates ways to enable rendering-supported simulations. The outcome is an intuitive multi-purpose development tool for multiple applications, ranging from industrial domains over environmental scenarios up to space robotics.
This book constitutes the thoroughly refereed proceedings of the Clausthal-Göttingen International Workshop on Simulation Science, held in Göttingen, Germany, in April 2017. The 16 full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on simulation and optimization in networks, simulation of materials, distributed simulations.
Complex artificial dynamic systems require advanced modeling techniques that can accommodate their asynchronous, concurrent, and highly non-linear nature. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models in a modular manner, allowing for model re-use and reduced development time. Discrete Event Modeling and Simulation presents a practical approach focused on the creation of discrete-event applications. The book introduces the CD++ tool, an open-source framework that enables the simulation of discrete-event models. After setting up the basic theory of DEVS and Cell-DEVS, the author focuses on how to use the CD++ tool to define a variety of models in biology, physics, chemistry, and artificial systems. They also demonstrate how to map different modeling techniques, such as Finite State Machines and VHDL, to DEVS. The in-depth coverage elaborates on the creation of simulation software for DEVS models and the 3D visualization environments associated with these tools. A much-needed practical approach to creating discrete-event applications, this book offers world-class instruction on the field’s most useful modeling tools.
The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 15 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications. This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.