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Critical Rhythm

Authors: ---
ISBN: 9780823282043 Year: Language: English
Publisher: Fordham University Press Grant: Knowledge Unlatched - 102905
Subject: Languages and Literatures
Added to DOAB on : 2019-02-08 08:29:52
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Explores both the theory and practice of rhythm in literature with a focus on nineteenth and twentieth-century poetry. Emphasis on rhythm’s role in contemporary literary criticism, including debates about poetic form and genre. This collection intervenes in recent debates over formalism, historicism, poetics, and lyric by focusing on one of literary criticism’s most important, most vested, and perhaps least well-defined or definable terms. Rhythm in these essays is at once a defamiliarizing aesthetic force and an unstable concept. It is a key term through which Romantic, Modern, and contemporary literary theory define form, either in conversation with or opposition to meter. It has rich but also problematic roots in still-lingering nineteenth-century notions of primitive, oral, communal, and sometimes racialized poetics. But there are reasons to understand and even embrace its seductions, including its resistance to lyrical voice if not identity as such.

The Evolution of Rhythm Cognition: Timing in Music and Speech

Authors: --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889455003 Year: Pages: 391 DOI: 10.3389/978-2-88945-500-3 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Neurology --- Psychology
Added to DOAB on : 2019-01-23 14:53:42
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Human speech and music share a number of similarities and differences. One of the closest similarities is their temporal nature as both (i) develop over time, (ii) form sequences of temporal intervals, possibly differing in duration and acoustical marking by different spectral properties, which are perceived as a rhythm, and (iii) generate metrical expectations. Human brains are particularly efficient in perceiving, producing, and processing fine rhythmic information in music and speech. However a number of critical questions remain to be answered: Where does this human sensitivity for rhythm arise? How did rhythm cognition develop in human evolution? How did environmental rhythms affect the evolution of brain rhythms? Which rhythm-specific neural circuits are shared between speech and music, or even with other domains? Evolutionary processes’ long time scales often prevent direct observation: understanding the psychology of rhythm and its evolution requires a close-fitting integration of different perspectives. First, empirical observations of music and speech in the field are contrasted and generate testable hypotheses. Experiments exploring linguistic and musical rhythm are performed across sensory modalities, ages, and animal species to address questions about domain-specificity, development, and an evolutionary path of rhythm. Finally, experimental insights are integrated via synthetic modeling, generating testable predictions about brain oscillations underlying rhythm cognition and its evolution. Our understanding of the cognitive, neurobiological, and evolutionary bases of rhythm is rapidly increasing. However, researchers in different fields often work on parallel, potentially converging strands with little mutual awareness. This research topic builds a bridge across several disciplines, focusing on the cognitive neuroscience of rhythm as an evolutionary process. It includes contributions encompassing, although not limited to: (1) developmental and comparative studies of rhythm (e.g. critical acquisition periods, innateness); (2) evidence of rhythmic behavior in other species, both spontaneous and in controlled experiments; (3) comparisons of rhythm processing in music and speech (e.g. behavioral experiments, systems neuroscience perspectives on music-speech networks); (4) evidence on rhythm processing across modalities and domains; (5) studies on rhythm in interaction and context (social, affective, etc.); (6) mathematical and computational (e.g. connectionist, symbolic) models of “rhythmicity” as an evolved behavior.

Data Privacy for the Smart Grid

Authors: ---
ISBN: 9781466573383 Year: Pages: 250 DOI: 10.1201/b18005 Language: English
Publisher: Taylor & Francis
Subject: Business and Management --- Computer Science
Added to DOAB on : 2020-09-23 00:02:36
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Privacy for the Smart Grid provides easy-to-understand guidance on data privacy issues and the implications for creating privacy risk management programs, along with privacy policies and practices required to ensure Smart Grid privacy. It addresses privacy in electric, natural gas, and water grids from two different perspectives of the topic, one from a Smart Grid expert and another from a privacy and information security expert. While considering privacy in the Smart Grid, the book also examines the data created by Smart Grid technologies and machine-to-machine applications.

Applications of Computational Intelligence to Power Systems

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ISBN: 9783039217601 9783039217618 Year: Pages: 116 DOI: 10.3390/books978-3-03921-761-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-11-08 11:31:56
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Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.

Selected Papers from the 9th World Congress on Industrial Process Tomography

Authors: --- ---
ISBN: 9783039282487 9783039282494 Year: Pages: 262 DOI: 10.3390/books978-3-03928-249-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:08
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Industrial process tomography (IPT) is becoming an important tool for Industry 4.0. It consists of multidimensional sensor technologies and methods that aim to provide unparalleled internal information on industrial processes used in many sectors. This book showcases a selection of papers at the forefront of the latest developments in such technologies.

Keywords

wire-mesh --- flow distribution --- subsea gas–liquid separation --- two-phase flow --- cyclonic chamber --- machine learning --- inverse problem --- electrical impedance tomography --- image reconstruction --- industrial tomography --- electrical impedance tomography --- ultrasound tomography --- dual-modality imaging --- lagrange-newton method --- electrical capacitance tomography --- industrial process tomography --- direct image reconstruction --- Calderon’s method --- truncation radius --- open electrical impedance tomography --- sensor design --- conformal transformation --- focusing sensor --- open domain imaging --- simulated inductor technique --- process tomography --- contactless electrical tomography --- grouting duct --- capacitive sensor --- cross section distribution detecting --- measurement --- drying process --- Electrical Impedance Tomography --- impedance spectroscopy --- chokeberry --- EIDORS --- Magnetic Induction Tomography --- imaging defects --- imaging deformations --- total variation algorithms --- threshold-differencing algorithms --- continuous casting --- imaging techniques --- multiphase flow --- nanoparticles --- enhanced oil recovery --- tomography --- sand-pack flooding --- electrical resistance tomography --- smart water meter --- wastewater management --- measurement data analysis --- targeted crowdsourcing --- flow investigation tool --- X-ray process tomography --- radiography imaging --- 3D --- ECT --- 3D-printing --- sensors --- modeling --- FPGA --- high-speed EIT --- frequency division multiplexing --- ONE-SHOT --- EIDORS --- n/a

Building Thermal Envelope

Authors: ---
ISBN: 9783039285181 9783039285198 Year: Pages: 244 DOI: 10.3390/books978-3-03928-519-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Construction --- General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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This book results from a Special Issue published in Energies, entitled “Building Thermal Envelope"". Its intent is to identify emerging research areas within the field of building thermal envelope solutions and contribute to the increased use of more energy-efficient solutions in new and refurbished buildings. Its contents are organized in the following sections: Building envelope materials and systems envisaging indoor comfort and energy efficiency; Building thermal and energy modelling and simulation; Lab test procedures and methods of field measurement to assess the performance of materials and building solutions; Smart materials and renewable energy in building envelope; Adaptive and intelligent building envelope; and Integrated building envelope technologies for high performance buildings and cities.

Keywords

hybrid heat collecting facade (HHCF) --- passive solar building --- heat transfer model --- thermal performance --- heat transfer --- energy --- thermosyphon --- natural circulation loop --- thermal resistance --- thermal transmittance --- heat flow meter method --- average method --- convergence characteristics --- opaque exterior wall --- hot box --- thermal models --- measuring and control system --- digital temperature probes --- data post-processing --- roof window --- thermal performance --- passive building --- building component development --- natural ventilation --- air environment --- school restroom --- awning window --- CFD --- thermal anisotropy --- building envelope --- thermal management --- energy efficiency --- peak load reduction --- window thermal performance --- U-value --- window type --- simulation performance test --- actual physical performance test --- heat transfer --- energy --- thermosyphon --- natural circulation loop --- expanded polystyrene (EPS) --- gray polystyrene --- artificial sun --- thermographic measurement --- temperature distribution --- cork --- energy retrofitting --- life cycle assessment --- life cycle costs --- thermal insulating rendering mortar --- Building Information Modeling --- cloud-based --- envelope thermal performance --- green buildings --- Green Mark --- Integrated Digital Delivery (IDD) --- traditional Diyarbak?r houses --- courtyard --- settlement --- Designbuilder simulation --- energy performance --- n/a

Soil Water Conservation. Dynamics and Impact

Authors: --- --- ---
ISBN: 9783038978527 9783038978534 Year: Pages: 258 DOI: 10.3390/books978-3-03897-853-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Environmental Technology
Added to DOAB on : 2019-04-25 16:37:17
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Human needs like food and clean water are directly related to good maintenance of healthy and productive soils. A good understanding of human impact on the natural environment is therefore necessary to preserve and manage soil and water resources. This knowledge is particularly important in semi-arid and arid regions, where the increasing demands on limited water supplies require urgent efforts to improve water quality and water use efficiency. It is important to keep in mind that both soil and water are limited resources. Thus, wise use of these natural resources is a fundamental prerequisite for the sustainability of human societies. This book collects 15 original scientific contributions addressing the state of the art of soil and water conservation research. Contributions cover a wide range of topics, including (1) recovery of soil hydraulic properties; (2) erosion risk; (3) novel modeling, monitoring and experimental approaches for soil hydraulic characterization; (4) improvement of crop yields; (5) water availability; and (6) soil salinity. This collection provides more insights into conservation strategies for effective and sustainable soil and water management.

Keywords

soil moisture storage --- van Genuchten model --- distributed model --- Xin’anjiang model --- TOPMODEL --- bimsoils --- critical hydraulic gradient (CHG) --- response surface methodology --- multi-parameter evaluation --- laboratory experiment --- soil block --- subsurface flow --- macropore network --- spatial scale --- polyurethane foam --- hillslope --- soil water content --- field observation --- three-dimensional model --- numerical model --- delta plain --- shallow groundwater --- unsaturated soil --- Richards equation --- the Trefftz method --- transient --- the meshless method --- vineyards --- infiltration rate --- age of planting --- saturated hydraulic conductivity --- Malawi --- conservation agriculture --- peer effects --- decision tree modeling --- olive grove --- sap flow --- relative transpiration --- FDR sensor --- EM38 --- fraction transpiration soil water --- transdisciplinary research --- Follow-the-Innovation --- innovation development --- electromagnetic induction meter (EM) --- The Agricultural Production Systems sIMulator (APSIM) software --- AquaCrop --- cereals --- DSSAT --- field scattering --- food security --- microdose fertilization --- rainfall variability --- tied ridges --- upgrading strategies --- soil properties --- saturated soil hydraulic conductivity --- soil infiltration --- Beerkan method --- post-fire soil hydraulic characterization --- infiltration --- bottomless bucket method --- single-ring infiltrometer --- field-saturated soil hydraulic conductivity --- data analysis procedures --- environmental change --- local perception --- food security --- adaptation --- soil tillage --- tillage erosion --- seedbed preparation --- water infiltration --- nitrogen use efficiency --- specific leaf water content --- vegetable production --- soil --- yield --- water and soil conservation --- sustainable land management --- soil erosion --- soil water storage --- water infiltration --- water availability --- crop yields

Intelligent Control in Energy Systems

Author:
ISBN: 9783039214150 9783039214167 Year: Pages: 508 DOI: 10.3390/books978-3-03921-416-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:15
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Keywords

lithium-ion battery pack --- soft internal short circuit --- model-based fault detection --- battery safety --- internal short circuit resistance --- load frequency control --- model uncertainty --- ?-synthesis --- differential evolution --- decision tree --- preventive control --- Fault Ride Through Capability --- doubly-fed induction generator --- ancillary service --- frequency regulation --- demand response --- commercial/residential buildings --- HVAC systems --- model predictive control --- rule-based control --- position control --- static friction --- exhaust gas recirculation (EGR) valve system --- automotive application --- hybrid electric vehicle --- compound structured permanent-magnet motor --- energy management strategy --- instantaneous optimization minimum power loss --- back propagation (BP) neural network --- power transformer winding --- vibration characteristics --- multiphysical field analysis --- short-circuit experiment --- winding-fault characteristics --- occupancy model --- occupancy-based control --- model predictive control --- energy efficiency --- building climate control --- solar monitoring system --- photovoltaic array --- energy management --- demand side management --- operation limit violations --- probabilistic power flow --- network sensitivity --- neural networks --- railway --- high-speed railway --- neutral section --- medium voltage --- thyristor --- AC static switch --- adaptive backstepping --- nonlinear power systems --- sliding mode control --- error compensation --- ?-class function --- energy internet --- multi-energy complementary --- integrated energy systems --- distribution network planning --- electric power consumption --- multi-step forecasting --- long short term memory --- convolutional neural network --- system identification --- parameter estimation --- system modelling --- model reduction --- polynomial expansion --- orthogonal least square --- industrial process --- electric vehicle --- battery packs --- active balance --- model predictive control --- hierarchical Petri nets --- urban microgrids --- phase-load balancing --- fuzzy logic controller --- MPPT: maximum power point tracking --- photovoltaic system --- step-up boost converter --- proton exchange membrane fuel cell --- four phases interleaved boost converter --- neural network controller --- AC-DC converters --- bridgeless SEPIC PFC converter --- repetitive controller --- current distortion --- current controller design --- stochastic power system operating point drift --- wind integrated power system --- power oscillations --- adaptive damping control --- continuous voltage control --- multiple-point control --- interaction minimization --- pilot point --- adjacent areas --- ANFIS --- artificial neural network --- fuzzy --- small scale compressed air energy storage (SS-CAES) --- voltage controlling --- electric meter --- error estimation --- line loss --- RLS --- double forgetting factors --- hybrid power plant --- control architecture --- coordination of reserves --- frequency support --- frequency control dead band --- fast frequency response --- frequency containment reserve --- line switching --- voltage violations --- three-stage --- fractional order fuzzy PID controller --- neural network algorithm --- PEM fuel cell --- MPPT operation --- sensitivity analysis --- intelligent control --- artificial intelligence --- energy management system --- smart micro-grid --- energy systems --- intelligent buildings --- forecasting --- multi-agent control --- optimization

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