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Heat sterilizing --- Heat sterilizing --- evaluation. --- evaluation --- Temperature. --- Temperature --- time --- time --- Food industry --- Food industry --- Microbiology --- Microbiology --- Food preservation --- Food preservation --- Tti --- Time temperature integrator --- Integrateur temps temperature --- Tti --- Time temperature integrator --- Integrateur temps temperature

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Energy systems are transiting from conventional energy systems to modernized and smart energy systems. This Special Issue covers new advances in the emerging technologies for modern energy systems from both technical and management perspectives. In modern energy systems, an integrated and systematic view of different energy systems, from local energy systems and islands to national and multi-national energy hubs, is important. From the customer perspective, a modern energy system is required to have more intelligent appliances and smart customer services. In addition, customers require the provision of more useful information and control options. Another challenge for the energy systems of the future is the increased penetration of renewable energy sources. Hence, new operation and planning tools are required for hosting renewable energy sources as much as possible.

Technology: general issues --- hybrid systems --- photovoltaic --- wind energy --- energy economics --- RES investments --- Zimbabwe --- Africa and energy security --- electricity price forecasting (EPF) --- wind power forecasting (WPF) --- spot market --- balancing market --- ARMAX --- NARX-ANN --- 100% renewable power system --- secondary voltage control --- tertiary voltage control --- grid code --- wind farms --- photovoltaic parks --- energy transition --- renewable energy sources --- island power systems --- hybrid power plants --- wind turbines --- battery energy storage systems --- marine microgrid --- tidal generation system --- black widow optimization --- supplementary control --- fractional integrator --- non-linear fractional integrator --- 100% renewable power generation --- nexus --- food --- energy --- water --- greenhouse gas emission --- microgrid --- ancillary services --- energy storage --- power management --- solar hot waters --- thermosyphon --- thermal performance --- Morocco --- economic outcomes --- CO2 environmental assessment --- solar system --- domestic hot water production --- solar water heaters --- individual and collective solar water heater systems --- dynamic simulation --- TRNbuild --- TRNSYSstudio --- energy management --- residential and commercial loads --- short-term load forecasting --- deep learning --- bidirectional long short-term memory (Bi-LSTM) --- n/a

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Energy systems are transiting from conventional energy systems to modernized and smart energy systems. This Special Issue covers new advances in the emerging technologies for modern energy systems from both technical and management perspectives. In modern energy systems, an integrated and systematic view of different energy systems, from local energy systems and islands to national and multi-national energy hubs, is important. From the customer perspective, a modern energy system is required to have more intelligent appliances and smart customer services. In addition, customers require the provision of more useful information and control options. Another challenge for the energy systems of the future is the increased penetration of renewable energy sources. Hence, new operation and planning tools are required for hosting renewable energy sources as much as possible.

Technology: general issues --- hybrid systems --- photovoltaic --- wind energy --- energy economics --- RES investments --- Zimbabwe --- Africa and energy security --- electricity price forecasting (EPF) --- wind power forecasting (WPF) --- spot market --- balancing market --- ARMAX --- NARX-ANN --- 100% renewable power system --- secondary voltage control --- tertiary voltage control --- grid code --- wind farms --- photovoltaic parks --- energy transition --- renewable energy sources --- island power systems --- hybrid power plants --- wind turbines --- battery energy storage systems --- marine microgrid --- tidal generation system --- black widow optimization --- supplementary control --- fractional integrator --- non-linear fractional integrator --- 100% renewable power generation --- nexus --- food --- energy --- water --- greenhouse gas emission --- microgrid --- ancillary services --- energy storage --- power management --- solar hot waters --- thermosyphon --- thermal performance --- Morocco --- economic outcomes --- CO2 environmental assessment --- solar system --- domestic hot water production --- solar water heaters --- individual and collective solar water heater systems --- dynamic simulation --- TRNbuild --- TRNSYSstudio --- energy management --- residential and commercial loads --- short-term load forecasting --- deep learning --- bidirectional long short-term memory (Bi-LSTM) --- hybrid systems --- photovoltaic --- wind energy --- energy economics --- RES investments --- Zimbabwe --- Africa and energy security --- electricity price forecasting (EPF) --- wind power forecasting (WPF) --- spot market --- balancing market --- ARMAX --- NARX-ANN --- 100% renewable power system --- secondary voltage control --- tertiary voltage control --- grid code --- wind farms --- photovoltaic parks --- energy transition --- renewable energy sources --- island power systems --- hybrid power plants --- wind turbines --- battery energy storage systems --- marine microgrid --- tidal generation system --- black widow optimization --- supplementary control --- fractional integrator --- non-linear fractional integrator --- 100% renewable power generation --- nexus --- food --- energy --- water --- greenhouse gas emission --- microgrid --- ancillary services --- energy storage --- power management --- solar hot waters --- thermosyphon --- thermal performance --- Morocco --- economic outcomes --- CO2 environmental assessment --- solar system --- domestic hot water production --- solar water heaters --- individual and collective solar water heater systems --- dynamic simulation --- TRNbuild --- TRNSYSstudio --- energy management --- residential and commercial loads --- short-term load forecasting --- deep learning --- bidirectional long short-term memory (Bi-LSTM)

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In the last decade, we have witnessed the rapid development of electronic technologies that are transforming our daily lives. Such technologies are often integrated with various sensors that facilitate the collection of human motion and physiological data and are equipped with wireless communication modules such as Bluetooth, radio frequency identification, and near-field communication. In smart healthcare applications, designing ergonomic and intuitive human–computer interfaces is crucial because a system that is not easy to use will create a huge obstacle to adoption and may significantly reduce the efficacy of the solution. Signal and data processing is another important consideration in smart healthcare applications because it must ensure high accuracy with a high level of confidence in order for the applications to be useful for clinicians in making diagnosis and treatment decisions. This Special Issue is a collection of 10 articles selected from a total of 26 contributions. These contributions span the areas of signal processing and smart healthcare systems mostly contributed by authors from Europe, including Italy, Spain, France, Portugal, Romania, Sweden, and Netherlands. Authors from China, Korea, Taiwan, Indonesia, and Ecuador are also included.

smart homes --- Internet of Things (IoT) --- Wi-Fi --- human monitoring --- behavioral analysis --- ambient assisted living --- intelligent luminaires --- wireless sensor network --- indoor localisation --- indoor monitoring --- Graphics Processing Units (GPUs) --- CUDA --- OpenMP --- OpenCL --- K-means --- brain cancer detection --- hyperspectral imaging --- unsupervised clustering --- impaired sensor --- Structural Health Monitoring --- Time of Flight --- subharmonics --- Cascaded-Integrator-Comb (CIC) filter --- FPGA --- fixed point math --- data adaptive demodulator --- motion estimation --- inertial sensors --- simulation --- spline function --- Kalman filter --- eHealth --- software engineering --- gesture recognition --- Dynamic Time Warping --- Hidden Markov Model --- usability --- Cramér–Rao lower bound (CRLB) --- human motion --- Inertial Measurement Unit (IMU) --- Time of Arrival (TOA) --- wearable sensors --- endothelial dysfunction --- photoplethysmography --- machine learning --- computer-assisted screening --- sleep pose recognition --- keypoints feature matching --- Bayesian inference --- near-infrared images --- scale invariant feature transform --- heartbeat classification --- arrhythmia --- denoising autoencoder --- autoencoder --- deep learning --- auditory perception --- biometrics --- computer vision --- web control access --- web security --- human–computer interaction --- n/a --- Cramér-Rao lower bound (CRLB) --- human-computer interaction

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Many industries, such as transportation and manufacturing, use control systems to insure that parameters such as temperature or altitude behave in a desirable way over time. For example, pilots need assurance that the plane they are flying will maintain a particular heading. An integral part of control systems is a mechanism for failure detection to insure safety and reliability. This book offers an alternative failure detection approach that addresses two of the fundamental problems in the safe and efficient operation of modern control systems: failure detection--deciding when a failure has occurred--and model identification--deciding which kind of failure has occurred. Much of the work in both categories has been based on statistical methods and under the assumption that a given system was monitored passively. Campbell and Nikoukhah's book proposes an "active" multimodel approach. It calls for applying an auxiliary signal that will affect the output so that it can be used to easily determine if there has been a failure and what type of failure it is. This auxiliary signal must be kept small, and often brief in duration, in order not to interfere with system performance and to ensure timely detection of the failure. The approach is robust and uses tools from robust control theory. Unlike some approaches, it is applicable to complex systems. The authors present the theory in a rigorous and intuitive manner and provide practical algorithms for implementation of the procedures.

System failures (Engineering) --- Fault location (Engineering) --- Signal processing. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Location of system faults --- System fault location (Engineering) --- Dynamic testing --- Failure of engineering systems --- Reliability (Engineering) --- Systems engineering --- A priori estimate. --- AIXI. --- Abuse of notation. --- Accuracy and precision. --- Additive white Gaussian noise. --- Algorithm. --- Approximation. --- Asymptotic analysis. --- Bisection method. --- Boundary value problem. --- Calculation. --- Catastrophic failure. --- Combination. --- Computation. --- Condition number. --- Continuous function. --- Control theory. --- Control variable. --- Decision theory. --- Derivative. --- Detection. --- Deterministic system. --- Diagram (category theory). --- Differential equation. --- Discrete time and continuous time. --- Discretization. --- Dynamic programming. --- Engineering design process. --- Engineering. --- Equation. --- Error message. --- Estimation theory. --- Estimation. --- Finite difference. --- Gain scheduling. --- Inequality (mathematics). --- Initial condition. --- Integrator. --- Invertible matrix. --- Laplace transform. --- Least squares. --- Likelihood function. --- Likelihood-ratio test. --- Limit point. --- Linear programming. --- Linearization. --- Mathematical optimization. --- Mathematical problem. --- Maxima and minima. --- Measurement. --- Method of lines. --- Monotonic function. --- Noise power. --- Nonlinear control. --- Nonlinear programming. --- Norm (mathematics). --- Numerical analysis. --- Numerical control. --- Numerical integration. --- Observational error. --- Open problem. --- Optimal control. --- Optimization problem. --- Parameter. --- Partial differential equation. --- Piecewise. --- Pointwise. --- Prediction. --- Probability. --- Random variable. --- Realizability. --- Remedial action. --- Requirement. --- Rewriting. --- Riccati equation. --- Runge–Kutta methods. --- Sampled data systems. --- Sampling (signal processing). --- Scientific notation. --- Scilab. --- Shift operator. --- Signal (electrical engineering). --- Sine wave. --- Solver. --- Special case. --- Stochastic Modeling. --- Stochastic calculus. --- Stochastic interpretation. --- Stochastic process. --- Stochastic. --- Theorem. --- Time complexity. --- Time-invariant system. --- Trade-off. --- Transfer function. --- Transient response. --- Uncertainty. --- Utilization. --- Variable (mathematics). --- Variance.