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Ranking for Web Data Search Using On-The-Fly Data Integration

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ISBN: 9783731501367 Year: Pages: VII, 202 p. DOI: 10.5445/KSP/1000037230 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
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Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.

Ähnlichkeitsbasierte Suche in Geschäftsprozessmodelldatenbanken

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ISBN: 9783731508120 Year: Pages: XII, 263 p. DOI: 10.5445/KSP/1000084124 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-28 18:37:01
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The reuse of process models is a promising technique to reduce modelling effort. Yet, finding similar models in large model collections is not feasible manually. A search functionality for relevant models, which can be used as a template, is therefore helpful. This work describes multiple techniques for finding similar process models and acitvities in process model repositories.

Digitale Datenbanken. Eine Medientheorie im Zeitalter von Big Data

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Book Series: Digitale Gesellschaft ISBN: 9783837630282 9783839430286 Year: Pages: 390 DOI: 10.14361/9783839430286 Language: German
Publisher: transcript Verlag Grant: EU-Großprojekt Innovations-Inkubator an der Leuphana Universität
Subject: Media and communication
Added to DOAB on : 2016-02-09 11:01:12
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We have long moved on from a mere information age to the era of big data. Here, databases represent both the enormous potential for gaining knowledge of data collection and the alarming information excesses of digital culture. Furthermore, the term refers to concrete technologies and processes of gathering and accessing digital information. Media theory has to locate databases in between these very different conceptions. Marcus Burkhardt retraces the history of databases and asks how technical procedures of processing digital information determine what can be found how in databases and what knowledge can be gained through them.

Fractional Order Systems

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ISBN: 9783039216086 9783039216093 Year: Pages: 114 DOI: 10.3390/books978-3-03921-609-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-12-09 11:49:16
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This book is focused on fractional order systems. Historically, fractional calculus has been recognized since the inception of regular calculus, with the first written reference dated in September 1695 in a letter from Leibniz to L’Hospital. Nowadays, fractional calculus has a wide area of applications in areas such as physics, chemistry, bioengineering, chaos theory, control systems engineering, and many others. In all those applications, we deal with fractional order systems in general. Moreover, fractional calculus plays an important role even in complex systems and therefore allows us to develop better descriptions of real-world phenomena. On that basis, fractional order systems are ubiquitous, as the whole real world around us is fractional. Due to this reason, it is urgent to consider almost all systems as fractional order systems.

Numerical and Evolutionary Optimization

Authors: --- --- ---
ISBN: 9783039218165 9783039218172 Year: Pages: 230 DOI: 10.3390/books978-3-03921-817-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

Computational Intelligence in Photovoltaic Systems

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ISBN: 9783039210985 9783039210992 Year: Pages: 180 DOI: 10.3390/books978-3-03921-099-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.

Brain-Computer Interfaces for Human Augmentation

Authors: --- ---
ISBN: 9783039219063 9783039219070 Year: Pages: 128 DOI: 10.3390/books978-3-03921-907-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Psychology
Added to DOAB on : 2019-12-09 11:49:16
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The field of Brain–Computer Interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of faster and more reliable assistive technologies based on direct links between the brain and an external device. Novel applications of BCIs have also been proposed, especially in the area of human augmentation, i.e., enabling people to go beyond human limitations in sensory, cognitive and motor tasks. Brain-imaging techniques, such as electroencephalography, have been used to extract neural correlates of various brain processes and transform them, via machine learning, into commands for external devices. Brain stimulation technology has allowed to trigger the activation of specific brain areas to enhance the cognitive processes associated to the task at hand, hence improving performance. BCIs have therefore extended their scope from assistive technologies for people with disabilities to neuro-tools for human enhancement. This Special Issue aims at showing the recent advances in BCIs for human augmentation, highlighting new results on both traditional and novel applications. These include, but are not limited to, control of external devices, communication, cognitive enhancement, decision making and entertainment.

Evolutionary Computation

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ISBN: 9783039219285 9783039219292 Year: Pages: 424 DOI: 10.3390/books978-3-03921-929-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,

Keywords

artificial bee colony algorithm (ABC) --- cloud model --- normal cloud model --- Y conditional cloud generator --- global optimum --- evolution --- computation --- urban design --- biology --- shape grammar --- architecture --- SPEA 2 --- energy-efficient job shop scheduling --- dispatching rule --- nonlinear convergence factor --- mutation operation --- whale optimization algorithm --- particle swarm optimization --- confidence term --- random weight --- benchmark functions --- t-test --- success rates --- average iteration times --- set-union knapsack problem --- moth search algorithm --- transfer function --- discrete algorithm --- evolutionary multi-objective optimization --- convergence point --- acceleration search --- evolutionary computation --- optimization --- bat algorithm (BA) --- bat algorithm with multiple strategy coupling (mixBA) --- CEC2013 benchmarks --- Wilcoxon test --- Friedman test --- facility layout design --- single loop --- monarch butterfly optimization --- slicing tree structure --- material handling path --- integrated design --- wireless sensor networks (WSNs) --- DV-Hop algorithm --- multi-objective DV-Hop localization algorithm --- NSGA-II-DV-Hop --- first-arrival picking --- fuzzy c-means --- particle swarm optimization --- range detection --- minimum total dominating set --- evolutionary algorithm --- genetic algorithm --- local search --- constrained optimization problems (COPs) --- evolutionary algorithms (EAs) --- firefly algorithm (FA) --- stochastic ranking (SR) --- Artificial bee colony --- swarm intelligence --- elite strategy --- dimension learning --- global optimization --- DE algorithm --- ?-Hilbert space --- topology structure --- quantum uncertainty property --- numerical simulation --- whale optimization algorithm --- flexible job shop scheduling problem --- nonlinear convergence factor --- adaptive weight --- variable neighborhood search --- elephant herding optimization --- EHO --- swarm intelligence --- individual updating strategy --- large-scale --- benchmark --- diversity maintenance --- particle swarm optimizer --- entropy --- large scale optimization --- minimum load coloring --- memetic algorithm --- evolutionary --- local search --- particle swarm optimization --- large-scale optimization --- adaptive multi-swarm --- diversity maintenance --- deep learning --- convolutional neural network --- rock types --- automatic identification --- monarch butterfly optimization --- greedy optimization algorithm --- global position updating operator --- 0-1 knapsack problems

UAV‐Based Remote Sensing Volume 1

Authors: ---
ISBN: 9783038427773 9783038427780 Year: Volume: 1 Pages: VIII, 388 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2018-04-27 15:10:10
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Active technological development has fuelled rapid growth in the number of Unmanned Aerial Vehicle (UAV) platforms being deployed around the globe. Novel UAV platforms, UAV-based sensors, robotic sensing and imaging techniques, the development of processing workflows, as well as the capacity of ultra-high temporal and spatial resolution data, provide both opportunities and challenges that will allow engineers and scientists to address novel and important scientific questions in UAV and sensor design, remote sensing and environmental monitoring.This work features papers on UAV sensor design, improvements in UAV sensor technology, obstacle detection, methods for measuring optical flow, target tracking, gimbal influence on the stability of UAV images, augmented reality tools, segmentation in digital surface models for 3D reconstruction, detection, location and grasping objects, multi-target localization, vision-based tracking in cooperative multi-UAV systems, noise suppression techniques , rectification for oblique images, two-UAV communication system, fuzzy-based hybrid control algorithms, pedestrian detection and tracking as well as a range of atmospheric, geological, , agricultural, ecological, reef, wildlife, building and construction, coastal area coverage, search and rescue (SAR), water plume temperature measurements, aeromagnetic and archaeological surveys applications

UAV‐Based Remote Sensing Volume 2

Authors: ---
ISBN: 9783038428558 9783038428565 Year: Volume: 2 Pages: VIII, 396 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2018-04-27 15:39:27
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ctive technological development has fuelled rapid growth in the number of Unmanned Aerial Vehicle (UAV) platforms being deployed around the globe. Novel UAV platforms, UAV-based sensors, robotic sensing and imaging techniques, the development of processing workflows, as well as the capacity of ultra-high temporal and spatial resolution data, provide both opportunities and challenges that will allow engineers and scientists to address novel and important scientific questions in UAV and sensor design, remote sensing and environmental monitoring.This work features papers on UAV sensor design, improvements in UAV sensor technology, obstacle detection, methods for measuring optical flow, target tracking, gimbal influence on the stability of UAV images, augmented reality tools, segmentation in digital surface models for 3D reconstruction, detection, location and grasping objects, multi-target localization, vision-based tracking in cooperative multi-UAV systems, noise suppression techniques , rectification for oblique images, two-UAV communication system, fuzzy-based hybrid control algorithms, pedestrian detection and tracking as well as a range of atmospheric, geological, , agricultural, ecological, reef, wildlife, building and construction, coastal area coverage, search and rescue (SAR), water plume temperature measurements, aeromagnetic and archaeological surveys applications

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