Rapid Prototyping Software for Avionics Systems

Rapid Prototyping Software for Avionics Systems PDF Author: Nicolas Larrieu
Publisher: John Wiley & Sons
ISBN: 1119050634
Category : Computers
Languages : en
Pages : 152

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Book Description
The design, implementation and validation of avionics and aeronautical systems have become extremely complex tasks due to the increase of functionalities that are deployed in current avionics systems and the need to be able certify them before putting them into production. This book proposes a methodology to enable the rapid prototyping of such a system by considering from the start the certification aspects of the solution produced. This method takes advantage of the model-based design approaches as well as the use of formal methods for the validation of these systems. Furthermore, the use of automatic software code generation tools using models makes it possible to reduce the development phase as well as the final solution testing. This book presents, firstly, an overview of the model-based design approaches such as those used in the field of aeronautical software engineering. Secondly, an original methodology that is perfectly adapted to the field of aeronautical embedded systems is introduced. Finally, the authors illustrate the use of this method using a case study for the design, implementation and testing of a new generation aeronautical router.

Rapid Prototyping Software for Avionics Systems

Rapid Prototyping Software for Avionics Systems PDF Author: Nicolas Larrieu
Publisher: John Wiley & Sons
ISBN: 1119050634
Category : Computers
Languages : en
Pages : 152

Get Book Here

Book Description
The design, implementation and validation of avionics and aeronautical systems have become extremely complex tasks due to the increase of functionalities that are deployed in current avionics systems and the need to be able certify them before putting them into production. This book proposes a methodology to enable the rapid prototyping of such a system by considering from the start the certification aspects of the solution produced. This method takes advantage of the model-based design approaches as well as the use of formal methods for the validation of these systems. Furthermore, the use of automatic software code generation tools using models makes it possible to reduce the development phase as well as the final solution testing. This book presents, firstly, an overview of the model-based design approaches such as those used in the field of aeronautical software engineering. Secondly, an original methodology that is perfectly adapted to the field of aeronautical embedded systems is introduced. Finally, the authors illustrate the use of this method using a case study for the design, implementation and testing of a new generation aeronautical router.

Rapid Prototyping of Software for Avionics Systems

Rapid Prototyping of Software for Avionics Systems PDF Author: Nicolas Larrieu
Publisher:
ISBN: 9781119050643
Category : Electronic books
Languages : en
Pages :

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Book Description


Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 772

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Book Description


Advanced Graph Theory and Combinatorics

Advanced Graph Theory and Combinatorics PDF Author: Michel Rigo
Publisher: John Wiley & Sons
ISBN: 1119058643
Category : Computers
Languages : en
Pages : 237

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Book Description
Advanced Graph Theory focuses on some of the main notions arising in graph theory with an emphasis from the very start of the book on the possible applications of the theory and the fruitful links existing with linear algebra. The second part of the book covers basic material related to linear recurrence relations with application to counting and the asymptotic estimate of the rate of growth of a sequence satisfying a recurrence relation.

Metaheuristics for Logistics

Metaheuristics for Logistics PDF Author: Laurent Deroussi
Publisher: John Wiley & Sons
ISBN: 1119136660
Category : Computers
Languages : en
Pages : 222

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Book Description
This book describes the main classical combinatorial problems that can be encountered when designing a logistics network or driving a supply chain. It shows how these problems can be tackled by metaheuristics, both separately and using an integrated approach. A huge number of techniques, from the simplest to the most advanced ones, are given for helping the reader to implement efficient solutions that meet its needs. A lot of books have been written about metaheuristics (methods for solving hard optimization problems) and supply chain management (the field in which we find a huge number of combinatorial optimization problems) in the last decades. So, the main reason of this book is to describe how these methods can be implemented for this class of problems.

Metaheuristics for Big Data

Metaheuristics for Big Data PDF Author: Clarisse Dhaenens
Publisher: John Wiley & Sons
ISBN: 1119347602
Category : Computers
Languages : en
Pages : 160

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Book Description
Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires complex analysis. Here the authors propose using metaheuristics as a solution to these challenges; they are first able to deal with large size problems and secondly flexible and therefore easily adaptable to different types of data and different contexts. The use of metaheuristics to overcome some of these data mining challenges is introduced and justified in the first part of the book, alongside a specific protocol for the performance evaluation of algorithms. An introduction to metaheuristics follows. The second part of the book details a number of data mining tasks, including clustering, association rules, supervised classification and feature selection, before explaining how metaheuristics can be used to deal with them. This book is designed to be self-contained, so that readers can understand all of the concepts discussed within it, and to provide an overview of recent applications of metaheuristics to knowledge discovery problems in the context of Big Data.

Metaheuristics for Robotics

Metaheuristics for Robotics PDF Author: Hamouche Oulhadj
Publisher: John Wiley & Sons
ISBN: 1786303809
Category : Computers
Languages : en
Pages : 184

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Book Description
This book is dedicated to the application of metaheuristic optimization in trajectory generation and control issues in robotics. In this area, as in other fields of application, the algorithmic tools addressed do not require a comprehensive list of eligible solutions to effectively solve an optimization problem. This book investigates how, by reformulating the problems to be solved, it is possible to obtain results by means of metaheuristics. Through concrete examples and case studies particularly related to robotics this book outlines the essentials of what is needed to reformulate control laws into concrete optimization data. The resolution approaches implemented as well as the results obtained are described in detail, in order to give, as much as possible, an idea of metaheuristics and their performance within the context of their application to robotics.

Beyond Artificial Intelligence

Beyond Artificial Intelligence PDF Author: Alain Cardon
Publisher: John Wiley & Sons
ISBN: 1119551021
Category : Computers
Languages : en
Pages : 156

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Book Description
This book will present a complete modeling of the human psychic system that allows to generate the thoughts in a strictly organizational approach that mixes a rising and falling approach. The model will present the architecture of the psychic system that can generate sensations and thoughts, showing how one can feel thoughts. The model developed into an organizational architecture based on massive multiagent systems. The architecture will be fully developed, showing how an artificial system can be endowed with consciousness and intentionally generate thoughts and, especially, feel them. These results are multidisciplinary, combining both psychology and computer science disciplines.

Metaheuristics for Air Traffic Management

Metaheuristics for Air Traffic Management PDF Author: Nicolas Durand
Publisher: John Wiley & Sons
ISBN: 1848218109
Category : Computers
Languages : en
Pages : 214

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Book Description
Air Traffic Management involves many different services such as Airspace Management, Air Traffic Flow Management and Air Traffic Control. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties. Metaheuristics are often good candidates to solve these problems. The book models various complex Air Traffic Management problems such as airport taxiing, departure slot allocation, en route conflict resolution, airspace and route design. The authors detail the operational context and state of art for each problem. They introduce different approaches using metaheuristics to solve these problems and when possible, compare their performances to existing approaches

Evolutionary Algorithms

Evolutionary Algorithms PDF Author: Alain Petrowski
Publisher: John Wiley & Sons
ISBN: 1119136415
Category : Computers
Languages : en
Pages : 214

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Book Description
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.