Search results: Found 55

Listing 1 - 10 of 55 << page
of 6
>>
Sort by
Big Data in Context: Legal, Social and Technological Insights

Authors: ---
Book Series: SpringerBriefs in Law ISSN: 2192-8568 ISBN: 9783319624600 9783319624617 Year: Pages: 120 DOI: https://doi.org/10.1007/978-3-319-62461-7 Language: English
Publisher: Springer Nature
Subject: Information theory
Added to DOAB on : 2017-11-24 10:19:35
License:

Loading...
Export citation

Choose an application

Abstract

This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.This volume was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions expressed in this book reflect only the authors’ point of view and not necessarily those of all members of the ABIDA project or the Federal Ministry of Education and Research.

New Directions on Model Predictive Control

Authors: ---
ISBN: 9783038974208 9783038974215 Year: Pages: 230 DOI: 10.3390/books978-3-03897-421-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2019-01-16 11:41:36
License:

Loading...
Export citation

Choose an application

Abstract

Model predictive control (MPC) is an advanced control design used in many industries worldwide. An MPC selects control actions which are optimal with respect to a given performance metric as well as any physically-motivated constraints. MPC has therefore gained significant research attention over the past several decades. Advances in MPC continue to unlock its potential to solve a wide variety of practical issues. This book presents some of the state-of-the-art in MPC design from theoretical and applications perspectives. It covers a broad spectrum of MPC application areas, reviewing applications as diverse as air conditioning, pharmaceutical manufacturing, mineral column flotation, actuator faults, and hydraulic fracturing, while also highlighting recent theoretical advancements in control technology that integrate it with data-driven models, zone tracking, or process safety and cybersecurity. Both centralized and distributed MPC formulations are presented. The purpose of this book is to assemble a collection of current research in MPC that handles practically-motivated theoretical issues as well as recent MPC applications, with the aim of highlighting the significant potential benefits of new MPC theory and design.

Extinction Learning from a Mechanistic and Systems Perspective

Authors: --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889199082 Year: Pages: 277 DOI: 10.3389/978-2-88919-908-2 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
License:

Loading...
Export citation

Choose an application

Abstract

Throughout their lifetime, animals learn to associate stimuli with their consequences. Following memory acquisition and consolidation, circumstances may arise that necessitate that initially learned behaviour is no longer relevant. The ensuing process is called extinction learning and involves a novel and complex learning procedure that involves a large number of neural entities. While the neural fundaments of the initial acquisition are well studied, our understanding of the behavioural and neural basis of extinction is still limited and derives mostly from rodent data acquired through fear conditioning paradigms. Fear conditioning and extinction in rodents is a spectacularly successful paradigm within behavioral neuroscience. However, in recent years, new approaches have been emerging that examine the mechanisms of extinction learning in different setting that also involve appetitive models, a broader comparative perspective, a focus on other brain systems, an examination of hormonal factors, and conditioning of immune responses. Only a broader analysis of the neural fundaments of extinction learning will finally uncover shared and distinct mechanisms that underlie extinction learning in different functional systems. The papers compiled in this Research Topic offer new and valuable insights into the mechanisms and functional implementation of extinction learning at its different levels of complexity, and form the basis for new concepts and research ideas in this field.

Tox21 Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Toxicants and Drugs

Authors: ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889451975 Year: Pages: 102 DOI: 10.3389/978-2-88945-197-5 Language: English
Publisher: Frontiers Media SA
Subject: Environmental Sciences --- Science (General)
Added to DOAB on : 2017-10-13 14:57:01
License:

Loading...
Export citation

Choose an application

Abstract

Tens of thousands of chemicals are released into the environment every day. High-throughput screening (HTS) has offered a more efficient and cost-effective alternative to traditional toxicity tests that can profile these chemicals for potential adverse effects with the aim to prioritize a manageable number for more in depth testing and to provide clues to mechanism of toxicity. The Tox21 program, a collaboration between the National Institute of Environmental Health Sciences (NIEHS)/National Toxicology Program (NTP), the U.S. Environmental Protection Agency’s (EPA) National Center for Computational Toxicology (NCCT), the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS), and the U.S. Food and Drug Administration (FDA), has generated quantitative high-throughput screening (qHTS) data on a library of 10K compounds, including environmental chemicals and drugs, against a panel of nuclear receptor and stress response pathway assays during its production phase (phase II). The Tox21 Challenge, a worldwide modeling competition, was launched that asks a “crowd” of researchers to use these data to elucidate the extent to which the interference of biochemical and cellular pathways by compounds can be inferred from chemical structure data. In the Challenge participants were asked to model twelve assays related to nuclear receptor and stress response pathways using the data generated against the Tox21 10K compound library as the training set. The computational models built within this Challenge are expected to improve the community’s ability to prioritize novel chemicals with respect to potential concern to human health. This research topic presents the resulting computational models with good predictive performance from this Challenge.

Modeling the Plankton - Enhancing the Integration of Biological Knowledge and Mechanistic Understanding

Authors: --- --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453658 Year: Pages: 228 DOI: 10.3389/978-2-88945-365-8 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Oceanography
Added to DOAB on : 2018-02-27 16:16:45
License:

Loading...
Export citation

Choose an application

Abstract

In light of climate change and allied changes to marine ecosystems, mathematical models have become an important tool to examine processes and predict phenomena from local through to global scales. In recent years model studies, laboratory experiments and a better ecological understanding of the pelagic ecosystem have enabled advancements on fundamental challenges in oceanography, including marine production, biodiversity and anticipation of future conditions in the ocean. This research topic presents a number of studies that investigate functionally diverse organism in a dynamic ocean through diverse and novel modeling approaches.

Modellbildung, Parameteridentifikation und Regelung hoch ausgenutzter Synchronmaschinen

Author:
ISBN: 9783731505556 Year: Pages: VI, 164 p. DOI: 10.5445/KSP/1000057097 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:58
License:

Loading...
Export citation

Choose an application

Abstract

What happens when permanent-magnet electric motors with identical power become smaller and lighter? How changes the electromagnetic behavior? What consequences arise with respect to optimal motor control? This study answers these questions and discusses modeling, parameter identification, and control over inverter-fed, magnetically anisotropic, highly utilized, permanent-magnet synchronous motors.

Visual Mismatch Negativity (vMMN) a Prediction Error Signal in the Visual Modality

Authors: --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889195602 Year: Pages: 202 DOI: 10.3389/978-2-88919-560-2 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
License:

Loading...
Export citation

Choose an application

Abstract

Current theories of visual change detection emphasize the importance of conscious attention to detect unexpected changes in the visual environment. However, an increasing body of studies shows that the human brain is capable of detecting even small visual changes, especially if such changes violate non-conscious probabilistic expectations based on repeating experiences. In other words, our brain automatically represents statistical regularities of our visual environmental. Since the discovery of the auditory mismatch negativity (MMN) event-related potential (ERP) component, the majority of research in the field has focused on auditory deviance detection. Such automatic change detection mechanisms operate in the visual modality too, as indicated by the visual mismatch negativity (vMMN) brain potential to rare changes. VMMN is typically elicited by stimuli with infrequent (deviant) features embedded in a stream of frequent (standard) stimuli, outside the focus of attention. In this research topic we aim to present vMMN as a prediction error signal. Predictive coding theories account for phenomena such as mismatch negativity and repetition suppression, and place them in a broader context of a general theory of cortical responses. A wide range of vMMN studies has been presented in this Research Topic. Twelve articles address roughly four general sub-themes including attention, language, face processing, and psychiatric disorders. Additionally, four articles focused on particular subjects such as the oblique effect, object formation, and development and time-frequency analysis of vMMN. Furthermore, a review paper presented vMMN in a hierarchical predictive coding framework. Each paper in this Research Topic is a valuable contribution to the field of automatic visual change detection and deepens our understanding of the short term plasticity underlying predictive processes of visual perceptual learning.

Brain Oscillations and Predictive Coding: What We Know and What We Should Learn

Author:
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889451616 Year: Pages: 100 DOI: 10.3389/978-2-88945-161-6 Language: English
Publisher: Frontiers Media SA
Subject: Psychology --- Science (General)
Added to DOAB on : 2017-08-28 14:01:09
License:

Loading...
Export citation

Choose an application

Abstract

Predictive coding (PC) is a neurocognitive concept, according to which the brain does not process the whole qualia of external information, but only residual mismatches occurring between incoming information and an individual, inner model of the world. At the time of issue initiation, I expected an essential focus on mismatch signals in the brain, especially those captured by neurophysiologic oscillations. This was because one most plausible approach to the PC concept is to identify and validate mismatch signals in the brain. Announcing the topic revealed a much deeper consideration of intelligible minds of researchers. It turned out that what was of fundamental interest was which brain mechanisms support the formation, maintenance and consolidation of the inner model determining PC. Is PC a dynamic construct continuously modulated by external environmental or internal mental information? The reader will be delighted to get acquainted with the current views and understanding of eminent scholars in the field. It will be challenging to discover the realm of sleep where both physiological, energy preserving and mental qualia principles build on the inner models to shape and transform the self. And where neurophysiologic oscillations may both transmit external information and translate inner models from state to state to preserve the self-continuity and compactness.

Combined Scheduling and Control

Authors: ---
ISBN: 9783038428053 9783038428060 Year: Pages: VIII, 166 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- Business and Management
Added to DOAB on : 2018-04-13 15:56:34
License:

Loading...
Export citation

Choose an application

Abstract

Scheduling and control are typically viewed as separate applications because of historical factors such as limited computing resources. Now that algorithms and computing resources have advanced, there are new efforts to have short-term decisions (control) interact or merge with longer-term decisions (scheduling). A new generation of numerical optimization methods are evolving to capture additional benefits and unify the approach to manufacturing process automation. This special issue is a collection of some of the latest advancements in scheduling and control for both batch and continuous processes. It contains developments with multi-scale problem formulation, software for the new class of problems, and a survey of the strengths and weaknesses of successive levels of integration.

Integrated Planning and Control for Collision Avoidance Systems

Author:
Book Series: Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie ISSN: 16134214 ISBN: 9783731507857 Year: Volume: 039 Pages: XV, 139 p. DOI: 10.5445/KSP/1000081452 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-28 18:37:01
License:

Loading...
Export citation

Choose an application

Abstract

Collision avoidance systems like emergency braking assist systems have demonstrated their effectiveness in increasing the safety of vehicle passengers in various studies. To further increase the effectiveness of collision avoidance systems, the exploitation of the lateral free space by evasive maneuvers is being investigated in this book. This work focuses on methods for integrated trajectory planning and vehicle dynamics control in collision avoidance scenarios by combined evasion and braking.

Listing 1 - 10 of 55 << page
of 6
>>
Sort by