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Foundations of Trusted Autonomy

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Book Series: Studies in Systems, Decision and Control ISSN: 2198-4182 ISBN: 9783319648156 9783319648163 Year: Pages: 395 DOI: https://doi.org/10.1007/978-3-319-64816-3 Language: English
Publisher: Springer Grant: Defence Science and Technology Group, Department of Defence, Australia
Subject: Computer Science
Added to DOAB on : 2018-06-26 16:59:49
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This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness.Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume.The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems.The book augments theory with real-world applications including cybersecurity, defence and space.

Evolutionary computation in stochastic environments

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ISBN: 9783866441286 Year: Pages: VII, 128 p. DOI: 10.5445/KSP/1000006634 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
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This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best procedures for the needs of Evolutionary Algorithms and Evolutionary operators for efficient implementation in stochastic environments are identified.

New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

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ISBN: 9783731505907 Year: Pages: XII, 243 p. DOI: 10.5445/KSP/1000060221 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:59
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Multidimensional imaging techniques provide powerful ways to examine various kinds of scientific questions. The routinely produced data sets in the terabyte-range, however, can hardly be analyzed manually and require an extensive use of automated image analysis. The present work introduces a new concept for the estimation and propagation of uncertainty involved in image analysis operators and new segmentation algorithms that are suitable for terabyte-scale analyses of 3D+t microscopy images.

Lademanagement für Elektrofahrzeuge

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ISBN: 9783731505655 Year: Pages: XIII, 209 DOI: 10.5445/KSP/1000057827 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-30 20:02:02
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The present work describes a charging management with integrated charging optimization for electric vehicles that can be provided to a fleet by a fleet operator or to a group of private customers by a loading infrastructure operator. Aim of this charging optimization is the calculation of an optimized charging plan by considering the electricity price as well as hard capacity boundaries and user requirements. This charging optimization is designed and implemented within the scope of this work.

Short-Term Load Forecasting by Artificial Intelligent Technologies

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ISBN: 9783038975823 / 9783038975830 Year: Pages: 444 DOI: 10.3390/books978-3-03897-583-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-01-29 10:55:39
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In last few decades, short-term load forecasting (STLF) has been one of the most important research issues for achieving higher efficiency and reliability in power system operation, to facilitate the minimization of its operation cost by providing accurate input to day-ahead scheduling, contingency analysis, load flow analysis, planning, and maintenance of power systems. There are lots of forecasting models proposed for STLF, including traditional statistical models (such as ARIMA, SARIMA, ARMAX, multi-variate regression, Kalman filter, exponential smoothing, and so on) and artificial-intelligence-based models (such as artificial neural networks (ANNs), knowledge-based expert systems, fuzzy theory and fuzzy inference systems, evolutionary computation models, support vector regression, and so on). Recently, due to the great development of evolutionary algorithms (EA) and novel computing concepts (e.g., quantum computing concepts, chaotic mapping functions, and cloud mapping process, and so on), many advanced hybrids with those artificial-intelligence-based models are also proposed to achieve satisfactory forecasting accuracy levels. In addition, combining some superior mechanisms with an existing model could empower that model to solve problems it could not deal with before; for example, the seasonal mechanism from the ARIMA model is a good component to be combined with any forecasting models to help them to deal with seasonal problems.

Structural Health Monitoring (SHM) of Civil Structures

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ISBN: 9783038427834 9783038427841 Year: Pages: X, 490 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2018-04-20 14:47:20
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At the current time of writing, the American Society of Civil Engineers (ASCE) has awarded American infrastructure a grade of D+, meaning poor and at risk. Part of the reason for the low grade is due to the rapid deterioration of structural integrity and the inability of most places to safely meet future demands. Deficiencies in these areas may be remediated by advancements in structural health monitoring (SHM) technologies that provide sensing systems to automatically and economically diagnose structural integrity. In a sense, SHM technologies will help pave the way to intelligent structures that are able to detect damage by themselves and even warn occupants of any danger due to impending structural failure. Engineering sensors and developing smart algorithms for SHM often involves the close collaboration of a surprisingly large breadth of specialties. In this book, we have collected a thin but representative slice of the most recent research in SHM, and hope that the reader will gain an inspiring view of today’s research landscape and a notion of what is to come.

Algorithms for Scheduling Problems

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ISBN: 9783038971191 9783038971207 Year: Pages: XIV, 194 Language: Englisch
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- Mathematics
Added to DOAB on : 2018-08-24 16:46:30
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This edited book presents new results in the area of algorithm development for different types of scheduling problems. In eleven chapters, algorithms for single machine problems, flow-shop and job-shop scheduling problems (including their hybrid (flexible) variants), the resource-constrained project scheduling problem, scheduling problems in complex manufacturing systems and supply chains, and workflow scheduling problems are given. The chapters address such subjects as insertion heuristics for energy-efficient scheduling, the re-scheduling of train traffic in real time, control algorithms for short-term scheduling in manufacturing systems, bi-objective optimization of tortilla production, scheduling problems with uncertain (interval) processing times, workflow scheduling for digital signal processor (DSP) clusters, and many more.

Emerging Technologies for Electric and Hybrid Vehicles

ISBN: 9783038971900 9783038971917 Pages: 372 DOI: 10.3390/books978-3-03897-191-7
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Transportation --- Electrical and Nuclear Engineering
Added to DOAB on : 2018-10-17 09:07:11
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In a world where energy conservation, environmental protection and sustainable development are growing concerns, the development of electric vehicle (EV) and hybrid EV (HEV) technologies has taken on an accelerated pace. This collection entitled “Electric and Hybrid Vehicles” invites articles that address the state-of-the-art technologies and new developments for EVs and HEVs, including but not limited to energy sources, electric powertrains, hybrid powertrains, energy management systems, energy refueling systems, regenerative braking systems, system integration, system optimization and infrastructure. Articles which deal with the latest hot topics for EVs and HEVs are particularly encouraged such as advanced lithium-ion batteries, ultracapacitors, energy-efficient motor drives, bidirectional power converters, integrated-starter-generator systems, electric variable transmission systems, on-board renewable energy, inductive or wireless charging technology, and vehicle-to-grid technology. As the impact of the use of EVs and HEVs on our daily lives is utmost important, articles which deal with the relationships between the use of EVs or HEVs and the energy, environment and economy would be of particular interest.

Tech Giants, Artificial Intelligence and the Future of Journalism

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ISBN: 9781138499973 9781351013758 Year: Language: English
Publisher: Taylor & Francis Grant: Knowledge Unlatched - 102683
Subject: Media and communication
Added to DOAB on : 2019-02-26 11:21:02
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This book examines the impact of the "Big Five" technology companies – Apple, Alphabet/Google, Amazon, Facebook and Microsoft – on journalism and the media industries. It looks at the current role of algorithms and artificial intelligence in curating how we consume media and their increasing influence on the production of the news.Exploring the changes that the technology industry and automation have made in the past decade to the production, distribution and consumption of news globally, the book considers what happens to journalism once it is produced and enters the media ecosystems of the internet tech giants – and the impact of social media and AI on such things as fake news in the post-truth age.

Algorithmuskulturen -- Über die rechnerische Konstruktion der Wirklichkeit

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Book Series: Kulturen der Gesellschaft ISBN: 9783839438008 9783837638004 9783732838004 Year: Pages: 242 DOI: 10.14361/9783839438008 Language: German
Publisher: transcript Verlag Grant: OGeSoMo
Subject: Social Sciences
Added to DOAB on : 2018-03-13 11:02:27
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High frequency trading, Google ranking, filter bubble – just three topical examples of the power of algorithms. This title presents a collection of contributions that deal with the historical emergence and wide distribution of algorithms that can be found in various aspects of social life today. They focus on the correlations between algorithmic and non-algorithmic actors and their significance for our daily lives and our social relationships and follow up on the mechanisms with which algorithms – products of a specific global access – frame reality while organizing the way how humans thinks about society. The contributions include case studies on social media, advertising and evaluation but also on mobile safety infrastructures, such as drones.

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