الصفحة 37
الصفحة 37
Coordination models and languages ; Vol.3454 : 7th international conference, COORDINATION 2005, Namur, Belgium, April 20-23, 2005, Proceedings
This book constitutes the refereed proceedings of the 7th International Conference on Coordination Models and Languages, COORDINATION 2005, held in Namur, Belgium in April 2005. The 19 revised full papers presented were carefully reviewed and selected from 88 submissions. Among the topics addressed are Web services, safe ambients, process calculus, abstract verification, role-based software, delegation modeling, distributed information flow, adaptive Web content provision, global computing, mobile agents, mobile computing, multithreaded code generation, shared data space coordination languages, automata specifications, time aware coordination, and service discovery.
Cooperative Information Agents XII ; 12th International Workshop, CIA 2008, Prague, Czech Republic, September 10-12, 2008. Proceedings
This book constitutes the refereed proceedings of the 12th International Workshop on Cooperative Information Agents, CIA 2008, held in Prague, Czech Republik, in September 2008.
Cooperative Information Agents XI ; Matthias Klusch, Koen V. Hindriks, Mike P. Papazoglou, Leon Sterling
In today’s world of ubiquitously connected heterogeneous information systems and computing devices, the intelligent coordination and provision of relevant added-value information at any time, anywhere is of key importance to a va- ety of applications. This challenge is envisioned to be coped with by means of appropriate intelligent and cooperative information agents. An information agent is a computational software entity that has access to one or multiple heterogeneous and geographically dispersed data and infor- tion sources. It pro-actively searches for and maintains information on behalf of its human users, or other agents preferably just in time. In other words, it is managing and overcoming the di?culties associated with information overload in open, pervasive information and service landscapes. Each component of a modern cooperative information system is represented by an appropriate intelligent information agent capable of resolving system and semantic heterogeneities in a given context on demand. Cooperative infor- tion agents are supposed to accomplish both individual and shared joint goals depending on the actual user preferences in line with given or deduced limits of time, budget and resources available.
Cooperative Information Agents X ; 10th International Workshop, CIA 2006, Edinburgh, UK, September 11-13, 2006, Proceedings
This book constitutes the refereed proceedings of the 10th International Workshop on Cooperative Information Agents, CIA 2006, held in Edinburgh, UK in September 2006. The 29 revised full papers presented together with four invited papers were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections.
Cooperative Design, Visualization, and Engineering ; 5th International Conference, CDVE 2008 Calvià, Mallorca, Spain, September 21-25, 2008 Proceedings
This book constitutes the refereed proceedings of the 5th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2008, held in Calvià, Mallorca, Spain, in September 2008.
Control problems for conservation laws with traffic applications: modeling, analysis, and numerical methods
Conservation and balance laws on networks have been the subject of much research interest given their wide range of applications to real-world processes, particularly traffic flow. This open access monograph is the first to investigate different types of control problems for conservation laws that arise in the modeling of vehicular traffic. Four types of control problems are discussed - boundary, decentralized, distributed, and Lagrangian control - corresponding to, respectively, entrance points and tolls, traffic signals at junctions, variable speed limits, and the use of autonomy and communication. Because conservation laws are strictly connected to Hamilton-Jacobi equations, control of the latter is also considered.
Contributions to Simulation Speed-Up : Rare Event Simulation and Short-Term Dynamic Simulation for Mobile Network Planning
Eugen Lamers explains the principle of simulation speed-up in general, demonstrates the technique RESTART for the simulation of rare events, and addresses its efficiency on distributed systems.
Contextual Process Digitalization: Changing Perspectives – Design Thinking – Value-Led Design
This book presents an overview and step-by-step explanation of process management. It starts with the individual participants’ perspectives on their work in a process and its structuring and harmonization, and then moves on to its specification in a model and how it is embedded in the organizational and IT environment of the company.
Content based social platform optimization “Fashion Platform"
The purpose of this project is to design a platform that concentrates on Fashion in addition to assisting users with gathering an informative feedback, as well as linking local stores to those users. This platform will be delivered as a mobile application that is available to any user who is interested in expressing and sharing his/her prevailing taste in fashion simply by posting photos, interacting with other people’s posts and leaving comments for them. The app will also provide some features in an attempt to push the users to be more enthusiastic and to be more encouraged about trying and continuously using this app. Moreover, this platform will incorporate a Shop section, which will be the actual local stores that are connected to it, so the user can buy an item that he/she is fond of.
Construction and analysis of safe, secure, and interoperable smart devices ; Vol. 3362 : International workshop, CASSIS 2004, Marseille, France, March 10-14, 2004, Revised Selected Papers
History based access control and secure information flow / The spec# programming system / Mastering test generation from smart card software formal models / A mechanism for secure, fine-grained dynamic provisioning of applications on small devices / A type system for checking applet isolation in java card / Verification of safety properties in the presence of transactions / Modelling mobility aspects of security policies / Smart devices for next generation mobile services / A flexible framework for the estimation of coverage metrics in explicit state software model checking / Combining several paradigms for circuit validation and verification / Smart card research perspectives
Constructing Ambient Intelligence ; AmI 2007 Workshops Darmstadt, Germany, November 7-10, 2007 Revised Papers
This book constitutes the refereed proceedings of the workshops of the First European Conference on Ambient Intelligence, AmI 2007, held in Darmstadt, Germany, in November 2007.
Conditionals, Information, and Inference
Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false — rather, a conditional “if A then B” provides a context, A, for B to be plausible (or true) and must not be confused with “A entails B” or with the material implication “not A or B.” This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The ?rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti?cial Intelligence made claims for appropriate formaltoolstohandle“generalizedrules.”Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision.
Concise Guide to Quantum Computing : Algorithms, Exercises, and Implementations
This textbook is intended for practical, laboratory sessions associated with the course of quantum computing and quantum algorithms, as well as for self-study. It contains basic theoretical concepts and methods for solving basic types of problems and gives an overview of basic qubit operations, entangled states, quantum circuits, implementing functions, quantum Fourier transform, phase estimation, etc. The book serves as a basis for the application of new information technologies in education and corporate technical training: theoretical material and examples of practical problems, as well as exercises with, in most cases, detailed solutions, have relation to information technologies. A large number of detailed examples serve to better develop professional competencies in computer science.
Conceptual Structures: Knowledge Architectures for Smart Applications ; 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield, UK, July 22-27, 2007, Proceedings
Conceptual structures focus on the representation and analysis of concepts, events, actions and objects with applications in - search,softwareengineering,manufacturing and business.The book covers computer science, information technology,artificial int- ligence, philosophy and a variety of applied disciplines to explore novel ways that information technologies can be leveraged to assist human reasoning and interaction for tangible business or social benefits. Conceptual structures can be used to augment human intelligence by facilitating knowledge integration, desion making, the creation of intelligent software systems and the exploration of implicit structures.
Conceptual Modelling in Information Systems Engineering
Conceptual modeling has always been one of the cornerstones for information systems engineering as it describes the general knowledge of the system in the so-called conceptual schema.It contiant data modeling, goal-oriented modeling, agent-oriented modeling, and process-oriented modeling. Overall, the contributions reflect the most important developments and application areas of conceptual modeling in recent years, and they also pinpoint trends in conceptual modeling for the next decade.
Conceptual Modeling of Information Systems
When designing an information system, conceptual modeling is the activity that elicits and describes the general knowledge the system needs to know. This description, called the conceptual schema, is necessary in order to develop an information system.textbook explains in detail the principles of conceptual modeling independently from particular methods and languages and shows how to apply them in real-world projects. It covers all aspects of the engineering process from structural modeling over behavioral modeling to meta-modeling, and completes the presentation with an extensive case study based on the osCommerce system, an online store-management software program freely available under the GNU General Public License. His presentation is based on well-known industry standards like UML and OCL as a particular conceptual modeling language, yet also delivers the basics of the formal logical language background.
Conceptual Modeling for Traditional and Spatio-Temporal Applications : The MADS Approach
This book shows that a conceptual design approach for spatio-temporal databases is both feasible and easy to apprehend. While providing a firm basis through extensive discussion of traditional data modeling concepts, the major focus of the book is on modeling spatial and temporal information. Parent, Spaccapietra and Zimányi provide a detailed and comprehensive description of an approach that fills the gap between application conceptual requirements and system capabilities, covering both data modeling and data manipulation features.
Conceptual Modeling for New Information Systems Technologies ; ER 2001 Workshops, HUMACS, DASWIS, ECOMO, and DAMA, Yokohama Japan, November 27-30, 2001. Revised Papers
The objective of the workshops associated with ER 2001, the 20th International Con- rence on Conceptual Modeling, was to give participants the opportunity to present and discuss emerging hot topics, thus adding new perspectives to conceptual modeling.
Conceptual Modeling - ER 2008 ; 27th International Conference on Conceptual Modeling, Barcelona, Spain, October 20-24, 2008. Proceedings
This book constitutes the refereed proceedings of the 27th International Conference on Conceptual Modeling, ER 2008, held in Barcelona, Spain, in October 2008.
Conceptual Modeling - ER 2007 ; 26th International Conference on Conceptual Modeling, Auckland, New Zealand, November 5-9, 2007, Proceedings
Conceptual modeling is fundamental to the development of complex systems, because it provides the key communication means between systems developers, end-users and customers.Conceptua lmodeling provides languages,methods and tools to understand and represent the application domain;to elicitate,concepalize and formalize system requirements and user needs;to communicate systems designs to all stakeholders; to formally verify and validate system designs on high levels of abstractions; and to minimize ambiguities in system development. Initially, conceptual modeling mainly addressed data-intensive information s- tems and contributed to data modeling and database application engineering. The area of conceptual modeling has now matured to encompass all kinds of application areas such as e-applications (including e-business and e-learning), web-based systems (including the semantic web and ubiquitous systems), life science and geographic applications.
