This volume contains a series of papers originally presented at a NATO Advanced Research Workshop (ARW) entitled Kinematic and Dynamic Issues in Sensor Based Control. The workshop, one of a series concerned with topics in sensory robotics, took place at II Ciocco, Castelvecchio di Pascoli, Italy in October 1987. Attendance was by invitation only and the majority of participants are recognised leaders in their field- some from the robotics community, others with a more general control background. The main topics of interest were grouped into eight sessions represented by the eight main sections of the book: 1: Modelling Techniques: General Kinematic and Dynamic Issues 2: Sensor Signal Processing 3: Force Control 4: Further Control Topics 5: Vision Based Control 6: Further Kinematic and Dynamic Issues 7: Computational Issues 8: Learning from Sensor Input Also included are brief reports of the roundtable discussions which sought to determine important future directions of research in this area. My thanks to all those who made the workshop possible: The NATO Scientific Affairs Division and the panel on Sensory Systems for Robotic Control who provided most of the financial support; the workshop committee, Dr. B. Espiau, Dr. P. Coiffet, Dr. P.

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computing methods, new applications, new philosophies . . . , new challenges. Much of the development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The potentially devastating effect of an operator making the wrong decision in the control of a highly automated system or process is well known. However as even more large-scale automated systems become likely, for example automated highways for cars, it is increasingly important to be able to assess the safety of these mixed or joint systems. Carlo Cacciabue's monograph on the modelling and simulation of these mixed processes of technological systems and human operators is extremely timely. The monograph provides an up-to-date and systematic presentation of the basic concepts and tools needed. This comprehensive coverage of the subject also includes a review of the last twenty years of research effort in the field.

Visualization in scientific computing is getting more and more attention from many people. Especially in relation with the fast increase of com puting power, graphic tools are required in many cases for interpreting and presenting the results of various simulations, or for analyzing physical phenomena. The Eurographics Working Group on Visualization in Scientific Com puting has therefore organized a first workshop at Electricite de France (Clamart) in cooperation with ONERA (Chatillon). A wide range of pa pers were selected in order to cover most of the topics of interest for the members of the group, for this first edition, and 26 of them were presented in two days. Subsequently 18 papers were selected for this volume. 1'he presentations were organized in eight small sessions, in addition to discussions in small subgroups. The first two sessions were dedicated to the specific needs for visualization in computational sciences: the need for graphics support in large computing centres and high performance net works, needs of research and education in universities and academic cen tres, and the need for effective and efficient ways of integrating numerical computations or experimental data and graphics. Three of those papers are in Part I of this book. The third session discussed the importance and difficulties of using stan dards in visualization software, and was related to the fourth session where some reference models and distributed graphics systems were discussed. Part II has five papers from these sessions.

Bondgraphs are a powerful tool in the simulation of mechanical, hydraulic, electric and thermal systems. They are used to represent engineering systems in written form by means of letter elements and their interconnections, called bonds, instead of in the form of numerous equations. They may be used to increase the efficiency of new product design. This book introduces the reader to bondgraphs and their use on PCs. A broad variety of applications of this method in the simulation of the above systems is presented. Twenty fully worked examples complement the presentation.

With the advent of digital computers more than half a century ago, - searchers working in a wide range of scienti?c disciplines have obtained an extremely powerful tool to pursue deep understanding of natural processes in physical, chemical, and biological systems. Computers pose a great ch- lenge to mathematical sciences, as the range of phenomena available for rigorous mathematical analysis has been enormously expanded, demanding the development of a new generation of mathematical tools. There is an explosive growth of new mathematical disciplines to satisfy this demand, in particular related to discrete mathematics. However, it can be argued that at large mathematics is yet to provide the essential breakthrough to meet the challenge. The required paradigm shift in our view should be compa- ble to the shift in scienti?c thinking provided by the Newtonian revolution over 300 years ago. Studies of large-scale random graphs and networks are critical for the progress, using methods of discrete mathematics, probabil- tic combinatorics, graph theory, and statistical physics. Recent advances in large scale random network studies are described in this handbook, which provides a signi?cant update and extension - yond the materials presented in the "Handbook of Graphs and Networks" published in 2003 by Wiley. The present volume puts special emphasis on large-scale networks and random processes, which deemed as crucial for - tureprogressinthe?eld. Theissuesrelatedtorandomgraphsandnetworks pose very di?cult mathematical questions.

Computer-AidedInnovation(CAI)isayoungdomaininthearrayofCAxte- nologies. ThegoalofCAIistosupportengineersandenterprisesthroughoutthe completeinnovationprocess. AlthoughsomeexistingideasandconceptsofCAI focus on assisting product designers in their creative stage, a more compreh- sive vision conceives CAI systems beginning at the creative stage of perceiving business opportunities and customer demands, then helping in developing - ventions and, further on, providing help up to the point of turning inventions into successful innovations in the market. Following the track of the last two successful CAI conferences held in 2005, in Germany, and 2007 in USA, the ThirdIFIPWorkingConferenceonComputer-AidedInnovation(CAI)washeld in Harbin, China, and attractedparticipants fromacademia and industry. This workingconferencecontinuedthe traditionofstronglylinkingacademicand- dustrymembers. Theconferencehadseveralparallelsessions, andeightkeynote sessions. Over 100 participants attended the conference. Some famous scholars wereinvited askeynotespeakers. I would liketo takethe opportunityto thank all the authors for their quality research, the international Program Comm- teemembersfortheirsupportinreviewingthepapers, andthelocalOrganizing Committeefortheirpreparationoftheconference. Furthermore, IthanktheC- neseNaturalScienceFoundation, theDepartmentofScienceandTechnologyof HeilongjiangProvincialGovernment, theInstituteofDesignforInnovation, and Hebei University of Technology, for their ?nancial support of the conference. I wouldalsoliketothankZhuLin, YaoYihang, XueGuiying, andCaoGuozhong for their signi?cantcontributions towardthe successof the conference. August 2009 Runhua Tan Organization TheThirdIFIPWorkingConferenceonComputer-AidedInnovation(CAI)was organized by Hebei University of Technology and the Department of Science andTechnologyofHeilongjiangProvincialGovernmentincooperationwiththe National Natural Science Foundationof China. Program Committee Conference Chair Runhua Tan, (Hebei University ofTechnology, China) Noel Leon(ITESM, Campus Monterrey, Mexico) OrganizingChair T. S. Yang (Department ofScience and Technologyof Heilongjiang Provincial Government, China) Referees T. Arciszewski(USA) Y. Li (China) M. Ashtiani (USA) H. Liu (China) G. Cascini(Italy) M. L. Maher (Australia) D. Cavalucci (France) M. B. Mc Grath(USA) R. De Guio(France) G. Mukundan (USA) S. K. Cho (USA) G. Olling (USA) S. Finger (USA) J. Ovtcharova(Germany) J. Gero(Australia) E. Schueler-Hainsch(Germany) C. Gundlach(Germ

The four-volume set LNCS 7333-7336 constitutes the refereed proceedings of the 12th International Conference on Computational Science and Its Applications, ICCSA 2012, held in Salvador de Bahia, Brazil, in June 2012. The four volumes contain papers presented in the following workshops: 7333 - advances in high performance algorithms and applications (AHPAA); bioinspired computing and applications (BIOCA); computational geometry and applicatons (CGA); chemistry and materials sciences and technologies (CMST); cities, technologies and planning (CTP); 7334 - econometrics and multidimensional evaluation in the urban environment (EMEUE); geographical analysis, urban modeling, spatial statistics (Geo-An-Mod); 7335 - optimization techniques and applications (OTA); mobile communications (MC); mobile-computing, sensind and actuation for cyber physical systems (MSA4CPS); remote sensing (RS); 7336 - software engineering processes and applications (SEPA); software quality (SQ); security and privacy in computational sciences (SPCS); soft computing and data engineering (SCDE). The topics of the fully refereed papers are structured according to the four major conference themes: 7333 - computational methods, algorithms and scientific application; 7334 - geometric modelling, graphics and visualization; 7335 - information systems and technologies; 7336 - high performance computing and networks.

Presents new mathematical and computational models as well as statistical methods for the solution of fundamental problems in the biosciences.

Describes how to find regularities among empirical data, as well as conceptual models and theories.

This concise text on geometry with computer modeling presents some elementary methods for analytical modeling and visualization of curves and surfaces. The author systematically examines such powerful tools as 2-D and 3-D animation of geometric images, transformations, shadows, and colors, and then further studies more complex problems in differential geometry. Well-illustrated with more than 350 figures---reproducible using Maple programs in the book---the work is devoted to three main areas: curves, surfaces, and polyhedra. Pedagogical benefits can be found in the large number of Maple programs, some of which are analogous to C++ programs, including those for splines and fractals. To avoid tedious typing, readers will be able to download many of the programs from the Birkhauser web site. Aimed at a broad audience of students, instructors of mathematics, computer scientists, and engineers who have knowledge of analytical geometry, i.e., method of coordinates, this text will be an excellent classroom resource or self-study reference. With over 100 stimulating exercises, problems and solutions, {\it Geometry of Curves and Surfaces with Maple} will integrate traditional differential and non- Euclidean geometries with more current computer algebra systems in a practical and user-friendly format.

Object-oriented concepts are particularly applicable to computer graphics in its broadest sense, including interaction, image synthesis, animation, and computer-aided design. The use of object-oriented techniques in computer graphics is a widely acknowledged way of dealing with the complexities encountered in graphics systems. But the field of object-oriented graphics (OOG) is still young and full of problems. This book reports on latest advances in this field and discusses how the discipline of OOG is being explored and developed. The topics covered include object-oriented constraint programming, object-oriented modeling of graphics applications to handle complexity, object-oriented techniques for developing user interfaces, and 3D modeling and rendering.

Although synthetic environments were traditionally used in military settings for mission rehearsal and simulations, their use is rapidly spreading to a variety of applications in the commercial, research and industrial sectors, such as flight training for commercial aircraft, city planning, car safety research in real-time traffic simulations, and video games. 3D Synthetic Environment Reconstruction contains seven invited chapters from leading experts in the field, bringing together a coherent body of recent knowledge relating 3D geospatial data collection, design issues, and techniques used in synthetic environments design, implementation and interoperability. In particular, this book describes new techniques for the generation of Synthetic Environments with increased resolution and rich attribution, both essential for accurate modeling and simulation. This book also deals with interoperability of models and simulations, which is necessary for facilitating the reuse of modeling and simulation components. 3D Synthetic Environment Reconstruction is an excellent reference for researchers and practitioners in the field.

I have long had an interest in the life sciences, but have had few opportunities to indulge that interest in my professional activities. It has only been through simulation that those opportunities have arisen. Some of my most enjoyable classes were those I taught to students in the life sciences, where I attempted to show them the value of simulation to their discipline. That there is such a value cannot be questioned. Whether you are interested in population ecology, phar macokinetics, the cardiovascular system, or cell interaction, simulation can play a vital role in explaining the underlying processes and in enhancing our understanding of these processes. This book comprises an excellent collection of contributions, and clearly demonstrates the value of simulation in the particular areas of physiology and bioengineering. My main frustration when teaching these classes to people with little or no computer background was the lack of suitable simulation software. This di rectly inspired my own attempts at producing software usable by the computer novice. It is especially nice that software is available that enables readers to experience the examples in this book for themselves. I would like to congratulate and thank the editors, Rogier P. van Wijk van Brievingh and Dietmar P. P. Moller, for all of their excellent efforts. They should be proud of their achievement. This is the sixth volume in the Advances in Simulation series, and other volumes are in preparation."

Keith M. Ponting Speech Research Unit, DERA Malvern St. Andrew's Road, Great Malvern, Worcs. WR14 3PS, UK email: ponting

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software library of C functions, and the versatile, open-source GnuPlot for visualizing the data. All source files, shell scripts, and additional notes are located at ksuweb.kennesaw.edu/~jgarrido/comp_models. The book first presents an overview of problem solving and the introductory concepts, principles, and development of computational models before covering the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such as polynomial evaluation, regression, and other numerical methods, to implement computational models. He also discusses more advanced concepts needed for modeling dynamical systems and explains how to generate numerical solutions. The book concludes with the modeling of linear optimization problems. Emphasizing analytical skill development and problem solving, this book helps you understand how to reason about and conceptualize the problems, generate mathematical formulations, and computationally visualize and solve the problems. It provides you with the foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high-performance computing.

This book constitutes the proceedings of the 4th International Workshop on Motion in Games, held in Edinburgh, UK, in November 2011. The 30 revised full papers presented together with 8 revised poster papers in this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on character animation, motion synthesis, physically-based character motion, behavior animation, animation systems, crowd simulation, as well as path planning and navigation.

Historians have different views on the core identity of analogue computing. Some portray the technology solely as a precursor to digital computing, whereas others stress that analogue applications existed well after 1940. Even within contemporary sources, there is a spectrum of understanding around what constitutes analogue computing. To understand the relationship between analogue and digital computing, and what this means for users today, the history must consider how the technology is used. Technology for Modelling investigates the technologies, the concepts, and the applications of analogue computing. The text asserts that analogue computing must be thought of as not just a computing technology, but also as a modelling technology, demonstrating how the history of analogue computing can be understood in terms of the parallel themes of calculation and modelling. The book also includes a number of detailed case studies of the technology's use and application. Topics and features: discusses the meaning of analogue computing and its significance in history, and describes the main differences between analogue and digital computing; provides a chronology of analogue computing, based upon the two major strands of calculation and modeling; examines the wider relationship between computing and modelling, and discusses how the theme of modelling fits within the history of analogue computing; describes how the history of analogue computing evolved through a number of stages of use; presents illustrative case studies on analogue modelling in academic research, oil reservoir modelling, aeronautical design, and meteorology. General readers and researchers in the field of history of computing - as well as history of science more generally - will find this book a fascinating insight into the historical use and evolution of technology. The volume provides a long-needed historical framework and context for these core computing technologies. Dr. Charles Care is a senior software engineer at BT and an Associate Fellow at the Department of Computer Science of the University of Warwick, UK.

In this book the author investigates the impact of demographic change on economic growth. As a result of the current financial crisis, a new view on economics has been demanded by various scientists. The author provides such a new view on economic growth, using a methodology of system dynamics. By applying this method, the author focuses on characteristics of complex systems and analyzes aging and shrinking processes, and not only positive growth. Delays and feedback processes are also considered. This leads to deeper and revealing insights into economic behavior. In doing so, a new semi-endogenous growth model is developed by introducing a specific and detailed population sector (demographic growth model). The book shows and analyzes the behavior of such a model and tests several policy scenarios in a transfer chapter to apply the new theoretical approach on real world problems. The major results are summarized in 15 principles of demographic growth.

Simulation, like a gem, is multi-faceted. Several subfields of simulation have emerged based on the characteristics of models used in a simulation study, on the nature and the generation characteristics of model behavior, also on the agent soch as a computer which generates model behavior. For example, one distinguishes: - deterministic simulation, stochastic simulation, stiff simulation based on functional rela- tionships of descriptive vuriables of models used; - combined simulation, continuous simulation, discrete simulation, process simulation, dis- crete event simulation, activity-scanning simulation based on characteristics of descrip- tive variables of modelS; variable topology simulation soch as moving boundary simulation, cellular simulation and fixed topology simulation soch as boundary-value simulation and network simulation (network flow simulation, Petri-net simulation, bond-graph simulation) based on spatial distribution of models; - simulation with fixed organization models (soch as simulation with hierarchical models) and simulation with variable organization models (i.e., autopoietic simulation) soch as metamorphic simulation, simulation with self-organizating models, simulation with self- learning models, evolutionary simulation based on orgCl"lization of component models; - state-maintaining simulation, behaviorally adaptive simulation, goal-seeking simulation, purposive simulation, purposeful simulation, ideal-seeking simulation based on goal(s) to be pursued by the model; - trajectory simulation, stroctural simulation, real-time simulation, predictive simulation, prescriptive simulation, intermittent simulation (such as regenerative simulation, opti- mizing simulation, gaming simulation, conferencing simulation, on-line simulation) based on nature md generation characteristics of model behavior; and - simulators such as aircraft simulator, earthquake simulator where physical analog can be

The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011.
The 262 regular session papers presented were carefully reviewed and selected from numerous submissions.
The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction.
The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, Kernel methods and support vector machines, and learning and memory.
The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

Numerical Geometry of Images examines computational methods and algorithms in image processing. It explores applications like shape from shading, color-image enhancement and segmentation, edge integration, offset curve computation, symmetry axis computation, path planning, minimal geodesic computation, and invariant signature calculation. In addition, it describes and utilizes tools from mathematical morphology, differential geometry, numerical analysis, and calculus of variations. Graduate students, professionals, and researchers with interests in computational geometry, image processing, computer graphics, and algorithms will find this new text / reference an indispensable source of insight of instruction.

The image taken by a moving camera changes with time. These image motions contain information about the motion of the camera and about the shapes of the objects in the field of view. There are two main types of image motion, finite displacements and image velocities. Finite displacements are described by the point correspondences between two images of the same scene taken from different positions. Image velocities are the velocities of the points in the image as they move over the projection surface. Reconstruction is the task of obtaining from the image-motions information about the camera motion or about the shapes of objects in the field of view. In this book the theory underlying reconstruction is described. Reconstruction from image motion is the subject matter of two different sci entific disciplines, photogrammetry and computer vision. In photogrammetry the accuracy of reconstruction is emphasised; in computer vision the emphasis is on methods for obtaining information from images in real time in order to guide a mechanical device such as a robot arm or an automatic vehicle. This book arises from recent work carried out in computer vision. Computer vision is a young field but it is developing rapidly. The earliest papers on reconstruction in the computer vision literature date back only to the mid 1970s. As computer vision develops, the mathematical techniques applied to the analysis of recon struction become more appropriate and more powerful."

GPSS-FORTRAN is a simulator for the simulation of discrete, continuous, and combined models. Provides a reference for GPSS-FORTRAN Version 3 and illustrates the use of the lan- guage by numerous examples.

Mixed-Signal Layout Generation Concepts covers important physical-design issues that exist in contemporary analog and mixed-signal design flows. Due to the increasing pressure on time-to-market, the steep increase in chip fabrication costs, and the increasing design complexity, it becomes even more challenging to produce a first-time right IC layout. The fundamental issues in creating a layout are placement and routing. Although these coupled problems have been investigated for many decades, no satisfactory automated solution has emerged yet. Fortunately, supported by modern computing power and results of new research that further improve computation efficiency, significant steps forward have been taken.
Mixed-Signal Layout Generation Concepts brings together many principles and techniques required to successfully develop and implement layout generation tools to accommodate many mixed-signal layout generation needs. Not only does it provide a comprehensive overview of state-of-the-art concepts, it also illustrates many concepts with intuitive examples and pseudo code. Altogether, it facilitates creation of insight in a vast and complex area.
For those who are new to the area of mixed-signal layout generation, this book provides an excellent introduction to advanced topics in this area. A practicing EDA researcher or tool developer might find this book a useful reference that combines classical and new principles. In addition, this book relates theories to each other and to pragmatic implementations. Finally, the designer, or layout artist, interested to have a thorough understanding of fundamental concepts in mixed-signal layout generation, can take advantage of the self-contained chapters in this book.

This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.