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AIAA 84-2386 - AIAA 84-2458

AIAA 84-2386 - AIAA 84-2458 PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages :

Book Description


AIAA 84-2386 - AIAA 84-2458

AIAA 84-2386 - AIAA 84-2458 PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages :

Book Description


International Aerospace Abstracts

International Aerospace Abstracts PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 682

Book Description


AIAA 84-0251 - 84-0300

AIAA 84-0251 - 84-0300 PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 564

Book Description


NASA SP.

NASA SP. PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 544

Book Description


AIAA 84-0151 - AIAA 84-0199

AIAA 84-0151 - AIAA 84-0199 PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages :

Book Description


Aeronautical Engineering

Aeronautical Engineering PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 540

Book Description
A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International aerospace abstracts (IAA).

AIAA 84-1304 - AIAA 84-1399

AIAA 84-1304 - AIAA 84-1399 PDF Author:
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages :

Book Description


A Cumulative Index to a Continuing Bibliography on Aeronautical Engineering

A Cumulative Index to a Continuing Bibliography on Aeronautical Engineering PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 554

Book Description


Design Optimization of Unmanned Aerial Vehicles

Design Optimization of Unmanned Aerial Vehicles PDF Author: Athanasios Papageorgiou
Publisher: Linköping University Electronic Press
ISBN: 917519001X
Category :
Languages : en
Pages : 99

Book Description
Over the last years, Unmanned Aerial Vehicles (UAVs) have gradually become a more efficient alternative to manned aircraft, and at present, they are being deployed in a broad spectrum of both military as well as civilian missions. This has led to an unprecedented market expansion with new challenges for the aeronautical industry, and as a result, it has created a need to implement the latest design tools in order to achieve faster idea-to-market times and higher product performance. As a complex engineering product, UAVs are comprised of numerous sub-systems with intricate synergies and hidden dependencies. To this end, Multidisciplinary Design Optimization (MDO) is a method that can identify systems with better performance through the concurrent consideration of several engineering disciplines under a common framework. Nevertheless, there are still many limitations in MDO, and to this date, some of the most critical gaps can be found in the disciplinary modeling, in the analysis capabilities, and in the organizational integration of the method. As an aeronautical product, UAVs are also expected to work together with other systems and to perform in various operating environments. In this respect, System of Systems (SoS) models enable the exploration of design interactions in various missions, and hence, they allow decision makers to identify capabilities that are beyond those of each individual system. As expected, this significantly more complex formulation raises new challenges regarding the decomposition of the problem, while at the same time, it sets further requirements in terms of analyses and mission simulation. In this light, this thesis focuses on the design optimization of UAVs by enhancing the current MDO capabilities and by exploring the use of SoS models. Two literature reviews serve as the basis for identifying the gaps and trends in the field, and in turn, five case studies try to address them by proposing a set of expansions. On the whole, the problem is approached from a technical as well as an organizational point of view, and thus, this research aims to propose solutions that can lead to better performance and that are also meaningful to the Product Development Process (PDP). Having established the above foundation, this work delves firstly into MDO, and more specifically, it presents a framework that has been enhanced with further system models and analysis capabilities, efficient computing solutions, and data visualization tools. At a secondary level, this work addresses the topic of SoS, and in particular, it presents a multi-level decomposition strategy, multi-fidelity disciplinary models, and a mission simulation module. Overall, this thesis presents quantitative data which aim to illustrate the benefits of design optimization on the performance of UAVs, and it concludes with a qualitative assessment of the effects that the proposed methods and tools can have on both the PDP and the organization.

Engineering Trustworthy Systems: Get Cybersecurity Design Right the First Time

Engineering Trustworthy Systems: Get Cybersecurity Design Right the First Time PDF Author: O. Sami Saydjari
Publisher: McGraw Hill Professional
ISBN: 1260118185
Category : Computers
Languages : en
Pages : 589

Book Description
Cutting-edge cybersecurity solutions to defend against the most sophisticated attacksThis professional guide shows, step by step, how to design and deploy highly secure systems on time and within budget. The book offers comprehensive examples, objectives, and best practices and shows how to build and maintain powerful, cost-effective cybersecurity systems. Readers will learn to think strategically, identify the highest priority risks, and apply advanced countermeasures that address the entire attack space. Engineering Trustworthy Systems: Get Cybersecurity Design Right the First Time showcases 35 years of practical engineering experience from an expert whose persuasive vision has advanced national cybersecurity policy and practices.Readers of this book will be prepared to navigate the tumultuous and uncertain future of cyberspace and move the cybersecurity discipline forward by adopting timeless engineering principles, including: •Defining the fundamental nature and full breadth of the cybersecurity problem•Adopting an essential perspective that considers attacks, failures, and attacker mindsets •Developing and implementing risk-mitigating, systems-based solutions•Transforming sound cybersecurity principles into effective architecture and evaluation strategies that holistically address the entire complex attack space