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Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated by factors such as seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. To comprehensively address this issue, it is insufficient to concentrate only on simply hybridizing evolutionary algorithms with each other, or on hybridizing evolutionary algorithms with chaotic mapping, quantum computing, recurrent and seasonal mechanisms, and fuzzy inference theory in order to determine suitable parameters for an existing model. It is necessary to also consider hybridizing or combining two or more existing models (e.g., neuro-fuzzy model, BPNN-fuzzy model, seasonal support vector regression–chaotic quantum particle swarm optimization (SSVR-CQPSO), etc.). These advanced novel hybrid techniques can provide more satisfactory energy forecasting performances.This book aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards recent developments, i.e., hybridizing or combining any advanced techniques in energy forecasting, with the superior capabilities over the traditional forecasting approaches, with the ability to overcome some embedded drawbacks, and with the very superiority to achieve significant improved forecasting accuracy.
evolutionary algorithms --- hybrid models --- support vector regression / support vector machines --- artificial neural networks --- bayesian inference --- autoregressive moving average with exogenous variable (ARMAX) --- quantile forecasting --- cluster validity --- principal component analysis --- quantum computing mechanism --- fuzzy group --- energy forecasting
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More accurate and precise energy demand forecasts are required when energy decisions are made in a competitive environment. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated. Examples include seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. These forecasting models have resulted in an over-reliance on the use of informal judgment and higher expenses when lacking the ability to determine data characteristics and patterns. The hybridization of optimization methods and superior evolutionary algorithms can provide important improvements via good parameter determinations in the optimization process, which is of great assistance to actions taken by energy decision-makers.This book aimed to attract researchers with an interest in the research areas described above. Specifically, it sought contributions to the development of any hybrid optimization methods (e.g., quadratic programming techniques, chaotic mapping, fuzzy inference theory, quantum computing, etc.) with advanced algorithms (e.g., genetic algorithms, ant colony optimization, particle swarm optimization algorithm, etc.) that have superior capabilities over the traditional optimization approaches to overcome some embedded drawbacks, and the application of these advanced hybrid approaches to significantly improve forecasting accuracy.
hybrid models --- optimization methodologies --- evolutionary algorithms --- support vector regression/support vector machines --- general regression neural network --- chaotic mapping mechanism --- quantum computing mechanism --- empirical mode decomposition --- recurrence plot theory --- energy forecasting
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The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is crucial that they are theoretically sound. In addition, more accurate or more precise energy demand forecasts are required when decisions are made in a competitive environment. Therefore, this is of special relevance in the Big Data era. These forecasts are usually based on a complex function combination. These models have resulted in over-reliance on the use of informal judgment and higher expense if lacking the ability to catch the data patterns. The novel applications of kernel methods and hybrid evolutionary algorithms can provide more satisfactory parameters in forecasting models. We aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards the development of HEAs with kernel methods or with other novel methods (e.g., chaotic mapping mechanism, fuzzy theory, and quantum computing mechanism), which, with superior capabilities over the traditional optimization approaches, aim to overcome some embedded drawbacks and then apply these new HEAs to be hybridized with original forecasting models to significantly improve forecasting accuracy.
kernel methods --- evolutionary algorithms --- hybrid models --- support vector regression / support vector machines --- spiking neural networks --- chaotic mapping mechanism --- quantum computing mechanism --- empirical mode decomposition --- extreme learning machine --- wavelet transform --- fuzzy time series --- energy forecasting
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The name of Joseph Fourier is also inseparable from the study of the mathematics of heat. Modern research on heat equations explores the extension of the classical diffusion equation on Riemannian, sub-Riemannian manifolds, and Lie groups. In parallel, in geometric mechanics, Jean-Marie Souriau interpreted the temperature vector of Planck as a space-time vector, obtaining, in this way, a phenomenological model of continuous media, which presents some interesting properties.
uncertainty relation --- Wigner–Yanase–Dyson skew information --- quantum memory --- Born probability rule --- quantum-classical relationship --- spinors in quantum and classical physics --- square integrable --- energy quantization --- Quantum Hamilton-Jacobi Formalism --- quantum trajectory --- generalized uncertainty principle --- successive measurements --- minimal observable length --- Rényi entropy --- Tsallis entropy --- deep learning --- quantum computing --- neuromorphic computing --- high performance computing --- quantum mechanics --- Gleason theorem --- Kochen–Specker theorem --- Born rule --- quantum uncertainty --- quantum foundations --- quantum information --- continuous variables --- Bohmian dynamics --- entanglement indicators --- linear entropy --- original Bell inequality --- perfect correlation/anticorrelation --- qudit states --- quantum bound --- measure of classicality --- foundations of quantum mechanics --- uncertainty relations --- bell inequalities --- entropy --- quantum computing
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This open access book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan. The international symposium MQC addresses the mathematics and quantum theory underlying secure modeling of the post quantum cryptography including e.g. mathematical study of the light-matter interaction models as well as quantum computing. The security of the most widely used RSA cryptosystem is based on the difficulty of factoring large integers. However, in 1994 Shor proposed a quantum polynomial time algorithm for factoring integers, and the RSA cryptosystem is no longer secure in the quantum computing model. This vulnerability has prompted research into post-quantum cryptography using alternative mathematical problems that are secure in the era of quantum computers. In this regard, the National Institute of Standards and Technology (NIST) began to standardize post-quantum cryptography in 2016. This book is suitable for postgraduate students in mathematics and computer science, as well as for experts in industry working on post-quantum cryptography.
Mathematical and Computational Engineering --- Data Structures and Information Theory --- Quantum Computing --- Systems and Data Security --- Mathematical and Computational Engineering Applications --- Data and Information Security --- Cryptography for Quantum Computers --- Post-quantum Cryptography --- Number Theory --- Representation Theory --- Quantum Physics --- Security Modelling --- Open Access --- Maths for engineers --- Algorithms & data structures --- Information theory --- Mathematical theory of computation --- Computer security --- Network security
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This open access State-of-the-Art Survey presents the main recent scientific outcomes in the area of reversible computation, focusing on those that have emerged during COST Action IC1405 "Reversible Computation - Extending Horizons of Computing", a European research network that operated from May 2015 to April 2019. Reversible computation is a new paradigm that extends the traditional forwards-only mode of computation with the ability to execute in reverse, so that computation can run backwards as easily and naturally as forwards. It aims to deliver novel computing devices and software, and to enhance existing systems by equipping them with reversibility. There are many potential applications of reversible computation, including languages and software tools for reliable and recovery-oriented distributed systems and revolutionary reversible logic gates and circuits, but they can only be realized and have lasting effect if conceptual and firm theoretical foundations are established first.
Logic Design --- Computer System Implementation --- Computer Communication Networks --- Special Purpose and Application-Based Systems --- Software Engineering --- Operating Systems --- open access --- reversible computation --- semantics of reversible computation --- formal methods --- models of computation --- circuit design --- simulation --- robotics --- debugging --- quantum computing --- wireless communications --- programming languages --- dependability --- modelling of biochemical systems --- computer networks --- engineering --- software engineering --- parallel processing systems --- theoretical computer science --- Computer architecture & logic design --- Systems analysis & design --- Network hardware --- Expert systems / knowledge-based systems --- Operating systems
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Flexible Electronics platforms are increasingly used in the fields of sensors, displays, and energy conversion with the ultimate goal of facilitating their ubiquitous integration in our daily lives. Some of the key advantages associated with flexible electronic platforms are: bendability, lightweight, elastic, conformally shaped, nonbreakable, roll-to-roll manufacturable, and large-area. To realize their full potential, however, it is necessary to develop new methods for the fabrication of multifunctional flexible electronics at a reduced cost and with an increased resistance to mechanical fatigue. Accordingly, this Special Issue seeks to showcase short communications, research papers, and review articles that focus on novel methodological development for the fabrication, and integration of flexible electronics in healthcare, environmental monitoring, displays and human-machine interactivity, robotics, communication and wireless networks, and energy conversion, management, and storage.
epidermal electronics --- wearable heater --- temperature sensor --- feedback control --- droplet circuits --- liquid metal --- quantum tunneling effect --- solution electronics --- electron transport --- ionic conduction --- quantum computing --- brain-like intelligence --- flexible organic electronics --- artificial synapses --- neuromorphic computing --- long-term plasticity --- flexible electronics --- nano-fabrication --- top-down approaches --- bottom-up approaches --- variable optical attenuator (VOA) --- surface plasmon-polariton (SPP) --- microwave photonics --- stretchability --- electronic measurements --- stretchable circuits --- design metrics --- reliability --- island-bridge --- conformal design --- non-developable surface --- stretchable electronics --- epidermal sensors --- stretchable electronics --- wireless power --- hydrophobic paper --- wearable stimulators --- paper electronics --- low-cost manufacture --- stretchable electronics --- tunnel encapsulation --- Polyvinyl Alcohol --- durability --- bio-integrated devices --- tissue adhesives --- tunable adhesion --- dry/wet conditions --- soft biological tissue --- n/a
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Quantum information has dramatically changed information science and technology, looking at the quantum nature of the information carrier as a resource for building new information protocols, designing radically new communication and computation algorithms, and ultra-sensitive measurements in metrology, with a wealth of applications. From a fundamental perspective, this new discipline has led us to regard quantum theory itself as a special theory of information, and has opened routes for exploring solutions to the tension with general relativity, based, for example, on the holographic principle, on non-causal variations of the theory, or else on the powerful algorithm of the quantum cellular automaton, which has revealed new routes for exploring quantum fields theory, both as a new microscopic mechanism on the fundamental side, and as a tool for efficient physical quantum simulations for practical purposes. In this golden age of foundations, an astonishing number of new ideas, frameworks, and results, spawned by the quantum information theory experience, have revolutionized the way we think about the subject, with a new research community emerging worldwide, including scientists from computer science and mathematics.
reconstruction of quantum theory --- entanglement --- monogamy --- quantum non-locality --- conserved informational charges --- limited information --- complementarity --- characterization of unitary group and state spaces --- algebraic quantum theory --- C*-algebra --- gelfand duality --- classical context --- bohrification --- process theory --- classical limit --- purity --- higher-order interference --- generalised probabilistic theories --- Euclidean Jordan algebras --- Pauli exclusion principle --- quantum foundations --- X-ray spectroscopy --- underground experiment --- silicon drift detector --- measurement uncertainty relations --- relative entropy --- position --- momentum --- quantum mechanics --- the measurement problem --- collapse models --- X-rays --- quantum gravity --- discrete spacetime --- causal sets --- path summation --- entropic gravity --- physical computing models --- complexity classes --- causality --- blind source separation (BSS) --- qubit pair --- exchange coupling --- entangled pure state --- unentanglement criterion --- probabilities in quantum measurements --- independence of random quantum sources --- iterant --- Clifford algebra --- matrix algebra --- braid group --- Fermion --- Dirac equation --- quantum information --- quantum computation --- semiclassical physics --- quantum control --- quantum genetic algorithm --- sampling-based learning control (SLC) --- quantum foundations --- relativity --- quantum gravity --- cluster states --- multipartite entanglement --- percolation --- Shannon information --- quantum information --- quantum measurements --- consistent histories --- incompatible frameworks --- single framework rule --- probability theory --- entropy --- quantum relative entropy --- quantum information --- quantum mechanics --- inference --- quantum measurement --- quantum estimation --- macroscopic quantum measurement --- quantum annealing --- adiabatic quantum computing --- hard problems --- Hadamard matrix --- binary optimization --- reconstruction of quantum mechanics --- conjugate systems --- Jordan algebras --- quantum correlations --- Gaussian states --- Gaussian unitary operations --- continuous-variable systems --- Wigner-friend experiment --- no-go theorem --- quantum foundations --- interpretations of quantum mechanics --- subsystem --- agent --- conservation of information --- purification --- group representations --- commuting subalgebras --- quantum walks --- Hubbard model --- Thirring model --- quantum information --- quantum foundations --- quantum theory and gravity
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Modern information communication technology eradicates barriers of geographic distances, making the world globally interdependent, but this spatial globalization has not eliminated cultural fragmentation. The Two Cultures of C.P. Snow (that of science–technology and that of humanities) are drifting apart even faster than before, and they themselves crumble into increasingly specialized domains. Disintegrated knowledge has become subservient to the competition in technological and economic race leading in the direction chosen not by the reason, intellect, and shared value-based judgement, but rather by the whims of autocratic leaders or fashion controlled by marketers for the purposes of political or economic dominance. If we want to restore the authority of our best available knowledge and democratic values in guiding humanity, first we have to reintegrate scattered domains of human knowledge and values and offer an evolving and diverse vision of common reality unified by sound methodology. This collection of articles responds to the call from the journal Philosophies to build a new, networked world of knowledge with domain specialists from different disciplines interacting and connecting with other knowledge-and-values-producing and knowledge-and-values-consuming communities in an inclusive, extended, contemporary natural–philosophic manner. In this process of synthesis, scientific and philosophical investigations enrich each other—with sciences informing philosophies about the best current knowledge of the world, both natural and human-made—while philosophies scrutinize the ontological, epistemological, and methodological foundations of sciences, providing scientists with questions and conceptual analyses. This is all directed at extending and deepening our existing comprehension of the world, including ourselves, both as humans and as societies, and humankind.
n/a --- compositional hierarchy --- development --- dissipative structures --- final cause --- internalism --- Second Law of thermodynamics --- subsumptive hierarchy --- agonism --- apophasis --- autocatalysis --- centripetality --- contingency --- endogenous selection --- heterogeneity --- indeterminacy --- process --- mathematics --- physics --- philosophical foundations --- natural philosophy --- the logic of nature --- ontology --- epistemology --- in the name of nature --- philosophy of information --- natural philosophy --- metaphysics --- physics --- problem of induction --- physicalism --- theoretical unity --- philosophy of science --- scientific method --- scientific progress --- pessimistic induction --- awareness --- cognition --- computation --- cybernetics --- differentiation --- fitness --- holographic encoding --- memory --- perception --- quantum information --- signal transduction --- spatial representation --- thermodynamics --- unitarity --- Leibniz --- monad --- internal quantum state --- relational biology --- reflexive psychology --- self --- induction --- naturalism --- evidence and justification --- epistemic norms --- induction and concept formation --- induction and discovery of laws --- natural philosophy --- R.M. Unger --- L. Smolin --- Aristotle --- F.W.J. Schelling --- Naturphilosophie --- A.N. Whitehead --- Ivor Leclerc --- dialectics --- discourse --- discursive space --- information --- knowledge --- humanistic management --- language --- natural philosophy --- subjective experience --- process --- dual aspects --- consciousness --- information-theory --- theoretical biology --- 1st-person and 3rd-person perspectives --- hylomorphism --- mind --- form --- matter --- neurodynamics --- natural philosophy --- philosophy of science --- Jungian psychology --- depth psychology --- analytical psychology --- phenomenological psychology --- evolutionary psychology --- active imagination --- Aristotle’s four causes --- aesthetics in science --- philosophy as a way of life --- common good --- contradiction --- ethics --- information --- logic --- naturalization --- realism --- science --- synthesis --- natural philosophy --- philosophy of nature --- naturalism --- unity of knowledge --- qualitative ontology --- intentionality --- dispositions --- qualia --- abduction --- agent-based reasoning --- creativity --- eco-cognitive model --- eco-cognitive openness --- fallacies --- errors of reasoning --- third-way reasoning --- naturalization of logic --- causality --- embodiment --- measurement --- regulation --- retrocausality --- second-person description --- symmetry breaking --- temporality --- natural philosophy --- cosmology --- emptiness --- vacuum --- void --- dark energy --- space flight --- exoplanet --- big freeze --- big crunch --- everyday lifeworld --- digitization --- computability --- complexity --- reverse mathematics --- quantum computing --- real computing --- theory of everything --- acategoriality --- state-space approach --- mental representation --- dual-aspect monism --- exceptional experiences --- intentionality --- mind-matter relations --- category theory --- memory evolutive system --- emergence --- emergentist reductionism --- anticipation --- creativity --- info-computational model
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