Listing 1 - 10 of 19 | << page >> |
Sort by
|
Choose an application
Millions of people worldwide are affected by neurological disorders which disrupt the connections within the brain and between brain and body causing impairments of primary functions and paralysis. Such a number is likely to increase in the next years and current assistive technology is yet limited. A possible response to such disabilities, offered by the neuroscience community, is given by Brain-Machine Interfaces (BMIs) and neuroprostheses. The latter field of research is highly multidisciplinary, since it involves very different and disperse scientific communities, making it fundamental to create connections and to join research efforts. Indeed, the design and development of neuroprosthetic devices span/involve different research topics such as: interfacing of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles to human brain), bio-artificial interfaces for stimulation (e.g. micro-stimulation, DBS: Deep Brain Stimulation) and recording (e.g. EMG: Electromyography, EEG: Electroencephalography, LFP: Local Field Potential), innovative signal processing tools for coding and decoding of neural activity, biomimetic artificial Spiking Neural Networks (SNN) and neural network modeling. In order to develop functional communication with the nervous system and to create a new generation of neuroprostheses, the study of closed-loop systems is mandatory. It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices. Improvements in task performance, usability, and embodiment have all been reported in systems utilizing some form of feedback. The bi-directional communication between living neurons and artificial devices is the main final goal of those studies. However, closed-loop systems are still uncommon in the literature, mostly due to requirement of multidisciplinary effort. Therefore, through eBook on closed-loop systems for next-generation neuroprostheses, we encourage an active discussion among neurobiologists, electrophysiologists, bioengineers, computational neuroscientists and neuromorphic engineers. This eBook aims to facilitate this process by ordering the 25 contributions of this research in which we highlighted in three different parts: (A) Optimization of different blocks composing the closed-loop system, (B) Systems for neuromodulation based on DBS, EMG and SNN and (C) Closed-loop BMIs for rehabilitation.
neuromodulation --- closed-loop experiments --- artificial spiking neural network --- neuroprostheses --- neuronal circuits --- stimulation
Choose an application
The use of wheel-individual drives on the steered axle simultaneously enables propulsion and implementation of steering assistance. This work presents a closed-loop and open-loop method for controlling wheel-selective drives with the aim of reducing the steering wheel torque. The proposed optimal linear-quadratic-integral controller achieves a high control quality while ensuring driving safety and reducing energy consumption.
Mechanical engineering & materials --- wheel individual --- steering assistance --- steering torque --- closed-loop control --- Open-loop control --- radselektiv --- Lenkkraftunterstützung --- Lenkradmoment --- Regelung --- Steuerung
Choose an application
Feedback control systems --- Systèmes à réaction --- #TELE:SISTA --- 681.516.3 --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Closed-loop control systems (feedback control systems) --- Feedback control systems. --- 681.516.3 Closed-loop control systems (feedback control systems) --- Systèmes à réaction --- Nonlinear systems. --- Systèmes non linéaires --- MATLAB. --- MATLAB --- SIMULINK. --- Simulink --- Systèmes non linéaires
Choose an application
Power converters have progressively become the most efficient and attractive solution in recent decades in many industrial sectors, ranging from electric mobility, aerospace applications to attain better electric aircraft concepts, vast renewable energy resource integration in the transmission and distribution grid, the design of smart and efficient energy management systems, the usage of energy storage systems, and the achievement of smart grid paradigm development, among others.In order to achieve efficient solutions in this wide energy scenario, over the past few decades, considerable attention has been paid by the academia and industry in order to develop new methods to achieve power systems with maximum harmonic performance aiming for two main targets. On the one hand, the high-performance harmonic performance of power systems would lead to improvements in their power density, size and weight. This becomes critical in applications such as aerospace or electric mobility, where the power converters are on-board systems. On the other hand, current standards are becoming more and more strict in order to reduce the EMI and EMC noise, as well as meeting minimum power quality requirements (i.e., grid code standards for grid-tied power systems).
Technology: general issues --- Energy industries & utilities --- multiphase drives --- pulse width modulation --- current harmonics --- effective voltage regulation --- generalized delayed signal cancellation --- harmonic distortion --- power quality --- repetitive controller --- harmonic analysis --- power converters --- pulse-width modulation (PWM) --- frequency-domain model --- voltage-source inverter (VSI) --- closed-loop control --- full electric aircraft (FEA) --- cascaded H-bridge (CHB) --- multi-level inverter --- permanent magnet synchronous motor (PMSM) --- total harmonic distortion (THD) --- pulse-width modulation --- metaheuristic search algorithms
Choose an application
This Special Issue collects the latest results on differential/difference equations, the mathematics of networks, and their applications to engineering and physical phenomena. It features nine high-quality papers that were published with original research results. The Special Issue brings together mathematicians with physicists, engineers, as well as other scientists.
History of engineering & technology --- fractional discrete calculus --- discrete chaos --- Tinkerbell map --- bifurcation --- stabilization --- communication networks --- maximum flow --- network policies --- algorithms --- gas flow --- stress-sensitive porous media --- multiple hydraulic fractures --- vertical fractured well --- Output-feedback --- centralized control --- decentralized control --- closed-loop stabilization --- Hardy Cross method --- pipe networks --- piping systems --- hydraulic networks --- gas distribution --- multi-switching combination synchronization --- time-delay --- fractional-order --- stability --- Shehu transformation --- Adomian decomposition --- analytical solution --- Caputo derivatives --- (2+time fractional-order) dimensional physical models --- homotopy perturbation method --- variational iteration method --- Laplace transform method --- acoustic wave equations --- n/a
Choose an application
Visual servoing is a well-known approach to guide robots using visual information. Image processing, robotics, and control theory are combined in order to control the motion of a robot depending on the visual information extracted from the images captured by one or several cameras. With respect to vision issues, a number of issues are currently being addressed by ongoing research, such as the use of different types of image features (or different types of cameras such as RGBD cameras), image processing at high velocity, and convergence properties. As shown in this book, the use of new control schemes allows the system to behave more robustly, efficiently, or compliantly, with fewer delays. Related issues such as optimal and robust approaches, direct control, path tracking, or sensor fusion are also addressed. Additionally, we can currently find visual servoing systems being applied in a number of different domains. This book considers various aspects of visual servoing systems, such as the design of new strategies for their application to parallel robots, mobile manipulators, teleoperation, and the application of this type of control system in new areas.
Technology: general issues --- head-mounted display --- virtual reality --- motion-to-photon latency --- Hydraulic Servo System --- SMCSPO --- Bilateral Control --- Estimated Reaction Force --- Master–Slave Configuration and Nuclear Power Plant --- spray painting robot --- FPAG --- GA --- ACO --- PSO --- TTOI problem --- visual compass --- orientation estimation --- hybrid features --- plane tracking --- vanishing direction --- Manhattan World --- RGB-D camera --- visual servoing --- optimal control --- mobile manipulator --- dynamic control --- fuzzy neural network --- sliding mode control --- picking robot --- parallel robot --- dynamic model --- closed-loop output-error identification --- optical CMM sensor --- image-based visual servoing --- image feature loss --- industrial robots --- switch control --- n/a --- Master-Slave Configuration and Nuclear Power Plant
Choose an application
This course-tested text is an ideal starting point for engineers and physicists entering the field of particle accelerators. The fundamentals are comprehensively introduced, derivations of essential results are provided, and a consistent notation style used throughout the book allows readers to quickly familiarize themselves with the field, providing a solid theoretical basis for further studies. Emphasis is placed on the essential features of the longitudinal motion of charged particle beams, together with the corresponding RF generation and power amplification devices for synchrotron and storage ring systems. In particular, electrical engineering aspects such as closed-loop control of system components are discussed. The book also offers a valuable resource for graduate students in physics, electronics engineering, or mathematics looking for an introductory and self-contained text on accelerator physics.
Physics. --- Particle Acceleration and Detection, Beam Physics. --- Microwaves, RF and Optical Engineering. --- Measurement Science and Instrumentation. --- Nanoscale Science and Technology. --- Mathematical Applications in the Physical Sciences. --- Particle acceleration. --- Microwaves. --- Physique --- Particules (Physique nucléaire) --- Micro-ondes --- Accélération --- Physics --- Physical Sciences & Mathematics --- Nuclear Physics --- Particle accelerators. --- Synchrotrons. --- Storage rings. --- Particle storage rings --- Synchrotron --- Accelerators, Particle --- Atom smashers --- Charged particle accelerators --- Mathematical physics. --- Nanoscale science. --- Nanoscience. --- Nanostructures. --- Physical measurements. --- Measurement. --- Optical engineering. --- Particle accelerators --- Nuclear physics --- Accelerator mass spectrometry --- Instruments --- Hertzian waves --- Electric waves --- Electromagnetic waves --- Geomagnetic micropulsations --- Radio waves --- Shortwave radio --- Particles (Nuclear physics) --- Acceleration (Mechanics) --- Acceleration --- Measurement . --- Physical mathematics --- Nanoscience --- Nano science --- Nanoscale science --- Nanosciences --- Science --- Measuring --- Mensuration --- Mathematics --- Technology --- Metrology --- Physical measurements --- Measurements, Physical --- Mathematical physics --- Measurement --- Mechanical engineering --- Closed-loop Control --- Longitudinal Beam Dynamics --- Low-Level RF (LLRF) Systems --- Particle Accelerator Technology --- RF Accelerating Cavities and Power Amplification --- Radio Frequency Systems --- Synchrotrons
Choose an application
A screenshot of some the most rapidly evolving fields in Neonatology and Pediatrics with articles reviewing some metabolic dysregulations as well as non-oncologic diseases that may occur in infancy, childhood, youth. The illustrative material with original photographs and drawings highlighting some pathogenetic concepts are keystones of this book.
interferon signature score --- interferonopathies --- n/a --- rat model --- pulmonary hypertension --- neurological symptoms --- early-onset sarcoidosis --- sialidosis --- sialidosis I --- children --- mediastinitis --- bilirubin encephalopathy --- Blau syndrome --- myocardial dysfunction --- cardiopulmonary bypass --- neuropathology --- bacteremia --- tissue doppler imaging --- HD-OCT --- biostatistics --- continuous insulin infusion system --- infants --- RNFL --- biomarkers --- diagnosis --- somatosensory evoked potential --- Paediatric sarcoidosis --- diabetic retinopathy --- brain damage --- tonsillectomy --- hybrid closed-loop system --- cytopathology --- neuraminidase --- subcutaneous emphysema --- continuous glucose monitor --- respiratory syncytial virus --- data sharing --- complication --- lysosomal storage disease --- echocardiography --- ONH --- systemic lupus erythematosus --- NT-proBNP --- preterm brain --- head and neck --- inter-laboratory variability --- GSH --- insulin pump --- high-risk sarcoidosis --- type 1 diabetes --- hypoxia-ischemia --- Tei index --- sialidosis II --- mediastinal emphysema --- newborn --- diabetes technology --- diagnostics --- lysosomal exocytosis --- kernicterus --- cerebral palsy --- choroidal thickness --- oxidative stress --- Children --- Pediatrics. --- Diseases. --- Paediatrics --- Pediatric medicine --- Medicine --- Childhood diseases --- Children's diseases --- Diseases of children --- Juvenile diseases --- Pediatrics --- Diseases --- Health and hygiene
Choose an application
The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges. This Special Issue, "Machine Learning and Information Theory", aims to collect recent results in this direction reflecting a diverse spectrum of visions and efforts to extend conventional theories and develop analysis tools for these complex machine learning systems.
Technology: general issues --- History of engineering & technology --- supervised classification --- independent and non-identically distributed features --- analytical error probability --- empirical risk --- generalization error --- K-means clustering --- model compression --- population risk --- rate distortion theory --- vector quantization --- overfitting --- information criteria --- entropy --- model-based clustering --- merging mixture components --- component overlap --- interpretability --- time series prediction --- finite state machines --- hidden Markov models --- recurrent neural networks --- reservoir computers --- long short-term memory --- deep neural network --- information theory --- local information geometry --- feature extraction --- spiking neural network --- meta-learning --- information theoretic learning --- minimum error entropy --- artificial general intelligence --- closed-loop transcription --- linear discriminative representation --- rate reduction --- minimax game --- fairness --- HGR maximal correlation --- independence criterion --- separation criterion --- pattern dictionary --- atypicality --- Lempel–Ziv algorithm --- lossless compression --- anomaly detection --- information-theoretic bounds --- distribution and federated learning
Choose an application
In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being.
Technology: general issues --- vibratory stimulation device --- local muscle vibration --- proprioceptors --- low back pain --- response frequency --- postural control --- Vater-Pacini corpuscles --- electroencephalography --- deep learning --- driving fatigue --- feature extraction --- convolutional neural network --- rehabilitation --- robotics --- technological devices --- upper limb impairment --- organizational model --- inkjet printing --- respiratory rate --- strain gauge --- stretchable and wearable sensors --- silver nanoparticles --- clinical evaluation --- body posture --- upper limb rehabilitation --- serious games --- haptic feedback --- electromyography sensors --- virtual reality --- smoothness --- wearable sensors --- gait analysis --- stumbling --- plantar visualization --- remote fetal monitor --- measurement uncertainty --- standard deviation --- Monte-Carlo method (MMC) --- efficient estimator --- automated assessment --- UE-FMA --- pinch force --- pulling force --- slip onset --- stroke --- anorexia nervosa --- electrodermal activity --- time-domain analysis --- frequency-domain analysis --- nonlinear analysis --- virtual reality exposure therapy --- driving phobia --- post-traumatic stress disorder --- physiological signal --- piezo-fluid-structural coupled simulation --- APS --- valveless micropump --- closed-loop insulin pump --- Individual verification --- Electrocardiogram (ECG) --- Interval based LDA --- biometrics --- n/a
Listing 1 - 10 of 19 | << page >> |
Sort by
|