الصفحة 9
الصفحة 9
Solar Journey : The Significance of our Galactic Environment for the Heliosphere and Earth
Humans evolved when the Sun was in the great void of the Local Bubble. The Sun entered the present environment of interstellar clouds only during the late Quaternary. Astronomical data reveal these long and short term changes in our galactic environment. Theoretical models then tell us how these changes affect interplanetary particles, planetary magnetospheres, and the Earth itself. Cosmic rays leave an isotopic signature in the paleoclimate record that helps trace the solar journey through space.
Software Engineering for Multi-Agent Systems IV ; Research Issues and Practical Applications
With the integration of computing and communication into the very fabric of our social, economic, and personal existence, the manner in which we think about and build software has become the subject of intense intellectual, scienti?c, and engineering reexamination. New computing paradigms have been proposed and new software architectures are being examined. The study of multi-agent s- tems (MAS) is one important movement energized by a growing awareness that application development may need to follow radically new paths. Fundamentally, MAS denotes a new software speci?cation and design paradigm. Moreover, when viewed in the context of large-scale deployment, it emerges as the embodiment of the quintessential concerns facing the software engineering community today. As computing and communication permeates the essential aspects of the societal infrastructure, software must become more nimble, slimmer, more natural, and more discrete. Software must integrate itself in an organic way into the activities it serves and the resources it exploits.
Software Architecture ; Vol. 4344 ; 3rd European Workshop, EWSA 2006, Nantes, France, September 4-5, 2006, Revised Selected Papers
Constitutes the proceedings of the 3rd European Workshop on Software Architecture (EWSA 2006) provided an international forum for researchers and practitioners from academia and industry to present innovative research and discuss a wide range of topics in the area of software architecture. Software architecture has emerged as an important subdiscipline of software engineering encompassing a broad set of languages, styles, models, tools, and processes.
Software Architecture ; 14th European Conference, ECSA 2020, L'Aquila, Italy, September 14–18, 2020, Proceedings
Constitutes the refereed proceedings of the 14th International Conference on Software Architecture, ECSA 2020, held in A’quila, Italy, in September 2020. In the Research Track, 12 full papers presented together with 5 short papers were carefully reviewed and selected from 103 submissions. They are organized in topical sections as follows: microservices; uncertainty, self-adaptive, and open systems; model-based approaches; performance and security engineering; architectural smells and source code analysis; education and training; experiences and learnings from industrial case studies; and architecting contemporary distributed systems.
Software agent-based applications, platforms and development kits
Intelligent agents and multi-agent systems (MAS) represent the next big step in the development of next-generation software systems, especially when consid- ing large scale distributed applications consisting of several sub-components with behavior that is increasingly di?cult to predict. This is supported by imp- tant research and development results and reinforced by the increasing uptake of agent-based solutions and services for real-world industries. In fact, software agent technology successfully addresses a number of highly relevant issues, like -?cient resource distribution, scalability, adaptability, maintainability, modularity, autonomy, self-sustainability, anddecentralizedcontrol, byprovidingpowerfulc- cepts, metaphors and tools. The mentioned issues are often regarded as essential non-functional properties of emerging software architectures and systems.
Soft Computing Applications in Business
Soft computing techniques are widely used in most businesses. This book consists of several important papers on the applications of soft computing techniques for the business field.The soft computing techniques used in this book include (or very closely related to): Bayesian networks, biclustering methods, case-based reasoning, data mining, Dempster-Shafer theory, ensemble learning, evolutionary programming, fuzzy decision trees, hidden Markov models, intelligent agents, k-means clustering, maximum likelihood Hebbian learning, neural networks, opportunistic scheduling, probability distributions combined with Monte Carlo methods, rough sets, self organizing maps, support vector machines, uncertain reasoning, other statistical and machine learning techniques, and combinations of these techniques.
Socionics : Scalability of complex social systems
Includes contributions from an interdisciplinary field of research we call Socionics. Based on a close cooperation between sociologists and researchers from distributed artificial intelligence and multiagent systems, Socionics deals with the exploration of the emergence and dynamics of artificial social systems, agent societies, as well as hybrid man-machine societies. The aim is both to develop intelligent computer technologies by picking up theoretical concepts and methods from sociology and to improve sociological models of societies and organizations by using advanced computer technology. The 15 articles in this state-of-the-art survey combine selected contributions from sociology and informatics on the modeling, construction, and study of complex social systems with special regard to the problem of scaling multiagent systems. The discussion focuses on four specific research areas: multi-layer modeling, organization and self-organization, emergence of social structures, and paths from an agent-centered to a communication-centered perspective in modeling multiagent systems.
Social Networks and the Semantic Web
Social Networks and the Semantic Web combines the concepts and the methods of two fields of investigation, which together have the power to aid in the analysis of the social Web and the design of a new class of applications that combine human intelligence with machine processing. Social Network Analysis and the emerging Semantic Web are also the fields that stand to gain most from the new Web in achieving their full potential. On the one hand, the social Web delivers social network data at an extraordinary scale, with a dynamics and precision that has been outside of reach for more traditional methods of observing social structure and behavior. In realizing this potential, the technology of the Semantic Web provides the key in aggregating information across heterogeneous sources. The Semantic Web itself benefits by incorporating user-generated metadata and other clues left behind by users.
Social Geographies of Educational Change
Social Geographies, as spatial location, is a factor relevant to understanding the variety of people’s interpretations and appropriations of educational innovations and changes. Their location in the social space also influences their response to change. In the field of educational change, social space means for example, skin colour, gender distribution of teachers in one school, children’s self-cultural representations or parents’ religious attitudes.This volume is relevant to educationalists, policy-makers, teachers, and students interested in a more complex approach to understand and intervene in educational change processes.
Smart robot navigation
The project aims at designing an autonomous robot equipped with a camera capable of safe navigation in an outdoor environment by developing a model that predict the steering angle using images obtained from the camera mimics the driver's vision, and then the reaction, control of the vehicle. Based on the images from the cameras gained in the manual mode, the neural network is trained using deep learning. Using this trained deep neural network leads to autonomous driving. The driver behavioral cloning algorithm developed on this project is based on the NVIDIA convolutional neural network model. This project will help people to use their time in more useful way than driving, also this will help people with disabilities, and reduce accidents. Udacity self-driving car simulator is used to test the performance of the model in real time.
Smart Materials for Ranging Systems
The problem of determining the location of an object, which is usually called ranging, attracts at present much attention in many different areas of applications, among them in ecological and safety devices. Electromagnetic waves along with sound waves are widely used for this purpose. Familiar examples of ranging systems are radar, sonar, GPS positioning, speed meters, etc.. Most are echo-type of devices, generating a wave and interpreting its echo from the object of interest. GPS is a cooperative system, in which the receiver observes timing signals from sources at known locations, and locates itself in reference to them. Passive ranging makes use of waves generated by the object to be located that are picked up by an observer.
Smart Driver Training Simulation: Save Money. Prevent.
Brings together the basic principles of education and training, modeling, task description and analysis, and the pros and cons of simulation as a training method. It describes the method used to design appropriate teaching and training programs and presents a taxonomy of the main components of the simulator technology. As an example, an interlinked training program which has been carried out is presented, with vehicles and simulators for professional drivers. This is followed by several advanced training programs which have also been tested. These simulator training courses for professional drivers are based on optimized simulator-specific teaching and training matter, covering an economic, anticipatory driving technique as well as self-control, i.e. frustration-resistant driving.
Smart cement : Development, testing, modeling and real-time monitoring
Over three billion metric tons of cement are produced annually worldwide, making concrete the most extensively used construction material. Self-sensing, or smart, cement allows real-time monitoring of performance through the entire service life of a concrete structure, for the detection of changing stresses, contamination, excessive temperature, gas leaks and pre-seismic activity. This is achieved by adding a very small proportion of conductive or semi-conductive fibers, such as carbon fibers to the bulk cement, making it piezoresistive, and enabling changes in the concrete’s electrical resistivity in response to shear stress and strain to be monitored.
Sketch like an architect : Advanced techniques
Have you ever asked yourself these questions: How to improve my imagination drawing? / How to compose better images? / How to draw complex/curvy/organic forms in perspective from any point of view? / How to get the proportions and depth right in perspective? / This book focuses exactly on answering these questions to help you improve your drawing skills and to help you become a better visual artist.
Singular Coverings of Toposes
The self-contained theory of certain singular coverings of toposes called complete spreads, that is presented in this volume, is a field of interest to topologists working in knot theory, as well as to various categorists. It extends the complete spreads in topology due to R. H. Fox (1957) but, unlike the classical theory, it emphasizes an unexpected connection with topos distributions in the sense of F. W. Lawvere (1983).
Simplicial and Dendroidal Homotopy Theory
This book offers a self-contained introduction to the homotopy theory of simplicial and dendroidal sets and spaces. These are essential for the study of categories, operads, and algebraic structure up to coherent homotopy. The dendroidal theory combines the combinatorics of trees with the theory of Quillen model categories. Dendroidal sets are a natural generalization of simplicial sets from the point of view of operads. In this book, the simplicial approach to higher category theory is generalized to a dendroidal approach to higher operad theory. This dendroidal theory of higher operads is carefully developed in this book. The book also provides an original account of the more established simplicial approach to infinity-categories, which is developed in parallel to the dendroidal theory to emphasize the similarities and differences.
Silberschatz's operating system concepts
It combines instruction on concepts with real-world applications so that students can understand the practical usage of the content. End-of-chapter problems, exercises, review questions, and programming exercises help to further reinforce important concepts. New interactive self-assessment problems are provided throughout the text to help students monitor their level of understanding and progress. A Linux virtual machine (including C and Java source code and development tools) allows students to complete programming exercises that help them engage further with the material.
Signs, codes, spaces, and arts : Papers on general and spatial semiotics
Delves into the concepts of general and spatial semiotics, discussing the differences and interactions between semiotic means of diverse types and levels. It introduces an integrative model (“the sign prism”) which unites many famous schemes of sign connection. It considers the human as a being included in a self-created semiosphere of signs and interacting with a sphere of natural signals and indexes available also to animals.
Signal Processing Techniques for Knowledge Extraction and Information Fusion
This state-of-the-art resource brings together the latest findings from the cross-fertilization of signal processing, machine learning and computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with low signal-to-noise ratio, solving real-world multi-channel problems, and using adaptive techniques where nonstationarity, uncertainty and complexity play major roles are addressed. Particular methods include Independent Component Analysis, Support Vector Machines, Distributed and Collaborative Adaptive Filtering, Empirical Mode Decomposition, Self Organizing Maps, Fuzzy Logic, Evolutionary Algorithms and several others used frequently in these fields. Also included are both important and novel applications from telecommunications, renewable energy and biomedical engineering.
Shock Wave Interactions in General Relativity : A Locally Inertial Glimm Scheme for Spherically Symmetric Spacetimes
This monograph presents a self contained mathematical treatment of the initial value problem for shock wave solutions of the Einstein equations in General Relativity. The first two chapters provide background for the introduction of a locally intertial Glimm Scheme, a non-dissipative numerical scheme for approximating shock wave solutions of the Einstein equations in spherically symmetric spacetimes. What follows is a careful analysis of this scheme providing a proof of the existence of (shock wave) solutions of the spherically symmetric Einstein equations for a perfect fluid, starting from initial density and velocity profiles that are only locally of bounded total variation.
