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24 results on '"621.3"'

2. Multi-Feed Metasurface Antennas: Direct Numerical Design and Experimental Validations

Author

Modeste Bodehou, Adrien Guth, Khaldoun Al Khalifeh, Dirk Heberling, and Christophe Craeye

Subjects
General Computer Science, ddc:621.3, General Engineering, General Materials Science, Electrical and Electronic Engineering, 621.3
Abstract

IEEE access 11, 35754-35762 (2023). doi:10.1109/ACCESS.2023.3265587, Published by IEEE, New York, NY

Published
2023

6. Uncertainty-Aware Model Predictive Control for Residential Buildings Participating in Intraday Markets

Author

Wilbert Rey Tarnate, Ferdinanda Ponci, and Antonello Monti

Subjects
General Computer Science, ddc:621.3, General Engineering, Active buildings, Astrophysics::Cosmology and Extragalactic Astrophysics, GeneralLiterature_MISCELLANEOUS, 621.3, TK1-9971, microgrid, local energy neighborhoods, nanogrid, internal pricing, General Materials Science, Vickrey pricing, Electrical engineering. Electronics. Nuclear engineering
Abstract

IEEE access 10, 7834-7851 (2022). doi:10.1109/ACCESS.2022.3140598, Published by IEEE, New York, NY

Published
2022

7. Frequency Control of Low Inertia Power Grids With Fuel Cell Systems in Distribution Networks

Author

Abouzar Estebsari, Steffen Vogel, Renato Melloni, Marija Stevic, Ettore F. Bompard, and Antonello Monti

Subjects
General Computer Science, ddc:621.3, General Engineering, General Materials Science, Electrical and Electronic Engineering, 621.3
Abstract

IEEE access 10, 71530-71544 (2022). doi:10.1109/ACCESS.2022.3187099, Published by IEEE, New York, NY

Published
2022

8. Validation Methods for Energy Time Series Scenarios From Deep Generative Models

Author

Eike Cramer, Leonardo Rydin Gorjao, Alexander Mitsos, Benjamin Schafer, Dirk Witthaut, and Manuel Dahmen

Subjects
Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial neural networks, General Computer Science, ddc:621.3, DATA processing & computer science, General Engineering, TK1-9971, 621.3, Machine Learning (cs.LG), machine learning, time series analysis, solar power generation, FOS: Electrical engineering, electronic engineering, information engineering, stochastic processes, General Materials Science, Electrical engineering. Electronics. Nuclear engineering, Electrical Engineering and Systems Science - Signal Processing, ddc:004, uncertainty
Abstract

The design and operation of modern energy systems are heavily influenced by time-dependent and uncertain parameters, e.g., renewable electricity generation, load-demand, and electricity prices. These are typically represented by a set of discrete realizations known as scenarios. A popular scenario generation approach uses deep generative models (DGM) that allow scenario generation without prior assumptions about the data distribution. However, the validation of generated scenarios is difficult, and a comprehensive discussion about appropriate validation methods is currently lacking. To start this discussion, we provide a critical assessment of the currently used validation methods in the energy scenario generation literature. In particular, we assess validation methods based on probability density, auto-correlation, and power spectral density. Furthermore, we propose using the multifractal detrended fluctuation analysis (MFDFA) as an additional validation method for non-trivial features like peaks, bursts, and plateaus. As representative examples, we train generative adversarial networks (GANs), Wasserstein GANs (WGANs), and variational autoencoders (VAEs) on two renewable power generation time series (photovoltaic and wind from Germany in 2013 to 2015) and an intra-day electricity price time series form the European Energy Exchange in 2017 to 2019. We apply the four validation methods to both the historical and the generated data and discuss the interpretation of validation results as well as common mistakes, pitfalls, and limitations of the validation methods. Our assessment shows that no single method sufficiently characterizes a scenario but ideally validation should include multiple methods and be interpreted carefully in the context of scenarios over short time periods., 20 pages, 8 figures, 2 tables

Published
2022

9. Electrodynamics of Axial-Flow Rotary Blood Pumps

Author

Igor V. Nesterenko, Alexander A. Pugovkin, Steffen Leonhardt, Marian Walter, Patrick Borchers, Aleksandr Markov, Jamshid H. Karimov, Sergey V. Selishchev, and Dmitry V. Telyshev

Subjects
back electromotive force, General Computer Science, ddc:621.3, Axial-flow, General Engineering, General Materials Science, electrodynamics, rotary blood pump, Electrical engineering. Electronics. Nuclear engineering, permanent magnet rotor, sinusoidal waveform, 621.3, TK1-9971
Abstract

IEEE access : practical research, open solutions 9, 164700-164711 (2021). doi:10.1109/ACCESS.2021.3133803, Published by IEEE, New York, NY

Published
2021

10. DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging

Author

Michael Cochez, Dietrich Rebholz-Schuhmann, Jiao Jiao, Md. Rezaul Karim, Stefan Decker, Oya Beyan, Till Döhmen, Artificial intelligence, Network Institute, Artificial Intelligence (section level), and Publica

Subjects
SDG 16 - Peace, General Computer Science, ddc:621.3, Computer science, Feature extraction, neural ensemble, 02 engineering and technology, Machine learning, computer.software_genre, knee osteoarthritis, 03 medical and health sciences, 0302 clinical medicine, Grad-CAM++, Application domain, explainability, Deep neural networks, 0202 electrical engineering, electronic engineering, information engineering, Medical imaging, medicine, General Materials Science, Relevance (information retrieval), Medical diagnosis, 030203 arthritis & rheumatology, Modality (human–computer interaction), medicine.diagnostic_test, Artificial neural network, business.industry, SDG 16 - Peace, Justice and Strong Institutions, General Engineering, Magnetic resonance imaging, Justice and Strong Institutions, 621.3, layer-wise relevance propagation, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, biomedical imaging, business, lcsh:TK1-9971, computer
Abstract

IEEE access 9, 39757-39780 (2021). doi:10.1109/ACCESS.2021.3062493, Published by IEEE, New York, NY

Published
2021

11. Efficiency Versus Accuracy: A Review of Design Techniques for DNN Hardware Accelerators

Author

Cecilia Latotzke and Tobias Gemmeke

Subjects
Neural network hardware, General Computer Science, Edge device, ddc:621.3, business.industry, Process (engineering), Computer science, 020208 electrical & electronic engineering, General Engineering, 02 engineering and technology, solid state circuits, 621.3, 020202 computer hardware & architecture, multi-layer neural network, integrated circuit technology, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, artificial neural networks, lcsh:TK1-9971, Computer hardware, Energy (signal processing), image classification
Abstract

IEEE access 9, 1-15 (2021). doi:10.1109/ACCESS.2021.3050670, Published by IEEE, New York, NY

Published
2021

12. An Average Consensus Algorithm for Seamless Synchronization of Andronov-Hopf Oscillator Based Multi-Bus Microgrids

Author

Igor Sowa, David Raisz, Antonello Monti, Tobias Heins, Trung Thai Tran, and Electrical Energy Systems

Subjects
General Computer Science, Computer science, ddc:621.3, Automatic frequency control, Connection (vector bundle), Synchronization, Frequency synchronization, power system dynamics, Control theory, General Materials Science, Point (geometry), Oscillators, Microgrids, power-sharing control, Protocol (object-oriented programming), General Engineering, Mode (statistics), Power system stability, TK1-9971, 621.3, Voltage control, Frequency control, Electrical engineering. Electronics. Nuclear engineering, Distributed generation, Voltage
Abstract

IEEE access 9, 90441-90454 (2021). doi:10.1109/ACCESS.2021.3090657, Published by IEEE, New York, NY

Published
2021

13. Non-Cooperative Game Based Power Allocation for Energy and Spectrum Efficient Downlink NOMA HetNets

Author

Maha Elsabrouty, Ahmed Nasser, Osamu Muta, and Haris Gacanin

Subjects
Non-cooperative game, Mathematical optimization, General Computer Science, ddc:621.3, Computer science, Quality of service, General Engineering, Spectral efficiency, 621.3, Single antenna interference cancellation, Telecommunications link, General Materials Science, Heterogeneous network, Power control, Efficient energy use
Abstract

IEEE access 9, 136334-136345 (2021). doi:10.1109/ACCESS.2021.3116706, Published by IEEE, New York, NY

Published
2021

14. Enhanced Peak Cancellation With Simplified In-Band Distortion Compensation for Massive MIMO-OFDM

Author

Haris Gacanin, Osamu Muta, and Tomoya Kageyama

Subjects
General Computer Science, Orthogonal frequency-division multiplexing, Computer science, ddc:621.3, Massive multiple-input multiple-output (MIMO), General Engineering, MIMO-OFDM, 621.3, Signal-to-noise ratio, orthogonal frequency-division multiplexing (OFDM), Distortion, Bit error rate, Electronic engineering, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, peak-to-average power ratio (PAPR), lcsh:TK1-9971, Computer Science::Information Theory
Abstract

IEEE access 8, 73420-73431 (2020). doi:10.1109/ACCESS.2020.2986280, Published by IEEE, New York, NY

Published
2020

15. Buffer-Aided Relaying Network With Hybrid BNC for the Internet of Things: Protocol and Performance Analysis

Author

Haris Gacanin, Suqin Pang, Shijie Shi, Yitong Li, Di Zhang, and Fasong Wang

Subjects
Internet of things, General Computer Science, Computer science, ddc:621.3, bidirectional relay, Throughput, 02 engineering and technology, unreliable transmission, Upper and lower bounds, green communication, 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, Overhead (computing), finite buffer, General Materials Science, business.industry, signaling overhead, General Engineering, 020302 automobile design & engineering, 020206 networking & telecommunications, 621.3, Transmission (telecommunications), Linear network coding, Queuing delay, Enhanced Data Rates for GSM Evolution, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971, Computer network, Efficient energy use
Abstract

IEEE access 8, 19646-19656 (2020). doi:10.1109/ACCESS.2020.2968368, Published by IEEE, New York, NY

Published
2020

16. A Study on Deep Learning for Latency Constraint Applications in Beyond 5G Wireless Systems

Author

Suren Sritharan, Harshana Weligampola, and Haris Gacanin

Subjects
General Computer Science, ddc:621.3, Computer science, Distributed computing, mobile communications, Network virtualization, 050801 communication & media studies, 02 engineering and technology, 0508 media and communications, Software, learning model ageing, Machine learning, low-latency application, 0202 electrical engineering, electronic engineering, information engineering, Reinforcement learning, Wireless, General Materials Science, Resource management, 6G, business.industry, Deep learning, 05 social sciences, General Engineering, 020206 networking & telecommunications, 621.3, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, business, lcsh:TK1-9971, 5G
Abstract

IEEE access 8, 218037-218061 (2020). doi:10.1109/ACCESS.2020.3040133, Published by IEEE, New York, NY

Published
2020

17. Distributed OPF Algorithm for System-Level Control of Active Multi-Terminal DC Distribution Grids

Author

Petros Pandis, Asimenia Korompili, and Antonello Monti

Subjects
Distributed control, General Computer Science, ddc:621.3, business.industry, Computer science, Computation, DC-DC converters, energy resources, General Engineering, power system control, Modular design, 621.3, Power (physics), optimisation methods, distributed power generation, Distributed algorithm, Distributed generation, Scalability, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Algorithm, lcsh:TK1-9971, Active Network Management
Abstract

IEEE access 8, 136638-136654 (2020). doi:10.1109/ACCESS.2020.3010876, Published by IEEE, New York, NY

Published
2020

18. Non-Intrusive Data Monitoring and Analysis of Occupant Energy-Use Behaviors in Shared Office Spaces

Author

Vojislav Novakovic, Masab Khalid Annaqeeb, Romana Markovic, and Elie Azar

Subjects
General Computer Science, Occupancy, ddc:621.3, Computer science, 020209 energy, Energy (esotericism), 0211 other engineering and technologies, 02 engineering and technology, Space (commercial competition), Transport engineering, 021105 building & construction, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Buildings, performance analysis, Consumption (economics), Building management system, energy conservation, General Engineering, occupant behavior, 621.3, Energy conservation, monitoring, Data monitoring, lcsh:Electrical engineering. Electronics. Nuclear engineering, shared office, lcsh:TK1-9971
Abstract

IEEE access 8, 141246-141257 (2020). doi:10.1109/ACCESS.2020.3012905, Published by IEEE, New York, NY

Published
2020

19. Design and Preliminary Validation of a Lower Limb Exoskeleton With Compact and Modular Actuation

Author

Ze Yang, Steffen Leonhardt, Shi Zhanpeng, Ren Junli, Xinyu Guan, Tang Zihan, Li Zhibin, Yinbo Li, Yang Yilin, Bernhard Penzlin, Meng Kuilin, Linhong Ji, and Han Xinyu

Subjects
0209 industrial biotechnology, General Computer Science, lower limb exoskeletons, Computer science, ddc:621.3, 02 engineering and technology, Lower limb, prototype development, 03 medical and health sciences, 020901 industrial engineering & automation, 0302 clinical medicine, Torque, General Materials Science, Compact actuators, Simulation, business.industry, General Engineering, Modular design, Motion control, 621.3, Exoskeleton, Mechanical system, Control system, mechanical design, walking assistance, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Actuator, lcsh:TK1-9971, 030217 neurology & neurosurgery
Abstract

IEEE access 8, 66338-66352 (2020). doi:10.1109/ACCESS.2020.2985910, Published by IEEE, New York, NY

Published
2020

20. Node and Block-Based Development Tools for Distributed Systems With AI Applications

Author

Rudiger Machhamer, Marcel Hauck, Guido Dartmann, Levin Czenkusch, and Klaus-Uwe Gollmer

Subjects
Rapid prototyping, General Computer Science, Computer science, ddc:621.3, Distributed computing, Internet of Things, 02 engineering and technology, Development (topology), Software, 0202 electrical engineering, electronic engineering, information engineering, visual programming environments, General Materials Science, Block (data storage), rapid prototyping, business.industry, Node (networking), 05 social sciences, General Engineering, 050301 education, 621.3, machine learning, 020201 artificial intelligence & image processing, Applications of artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, 0503 education, lcsh:TK1-9971
Abstract

IEEE access 7, 143109-143119 (2019). doi:10.1109/ACCESS.2019.2940113, Published by IEEE, New York, NY

Published
2019

21. Efficient Implementation of Density Evolution for Punctured Polar Codes

Author

Niklas Koep, Christopher Schnelling, Anke Schmeink, Rudolf Mathar, and Markus Rothe

Subjects
General Computer Science, Computer science, Polar code, ddc:621.3, Polar codes, Concatenation, General Engineering, density evolution, Sequential decoding, Topology, Block error, 621.3, Puncturing, puncturing, Polar, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, Density evolution, Decoding methods, Communication channel
Abstract

IEEE access 7, 105909-105921 (2019). doi:10.1109/ACCESS.2019.2929221, Published by IEEE, New York, NY

Published
2019

22. Amplitude-Integrated Electroencephalography Applications and Algorithms in Neonates: A Systematic Review

Author

Hendrik J. Niemarkt, Peter Andriessen, Steffen Leonhardt, Chenglu Sun, Wei Chen, Chen Chen, and School of Med. Physics and Eng. Eindhoven

Subjects
General Computer Science, Monitoring, ddc:621.3, Amplitude-integrated electroencephalography, 0206 medical engineering, 02 engineering and technology, Interpretation Process, Electroencephalography, Pediatrics, 03 medical and health sciences, 0302 clinical medicine, Biomedical imaging, Systematics, Clinical information, medicine, General Materials Science, Electrodes, Brain function, cerebral function monitoring, automatic seizure detection, medicine.diagnostic_test, Neonatal encephalopathy, business.industry, General Engineering, medicine.disease, 020601 biomedical engineering, Amplitude integrated electroencephalography, 621.3, Seizure detection, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Signal processing algorithms, Algorithm, lcsh:TK1-9971, 030217 neurology & neurosurgery
Abstract

IEEE access 7, 141766-141781 (2019). doi:10.1109/ACCESS.2019.2944531, Published by IEEE, New York, NY

Published
2019

23. Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware

Author

Levin Czenkusch, Hendrik Laux, Klaus-Uwe Gollmer, Matthias Dziubany, Rudiger Machhamer, Anke Schmeink, Guido Dartmann, and Stefan Naumann

Subjects
incremental learning, General Computer Science, ddc:621.3, Computer science, business.industry, General Engineering, Fingerprint recognition, internet of things, Field (computer science), 621.3, indoor localization, machine learning, Indoor positioning system, Categorization, Online offline, Robot, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, learning vector quantization, lcsh:TK1-9971, Computer hardware
Abstract

IEEE access 7, 155088-155106 (2019). doi:10.1109/ACCESS.2019.2947581, Published by IEEE, New York, NY

Published
2019

24. Distributed Model Predictive Voltage Control for Distribution Grid Based on Relaxation and Successive Distributed Decomposition

Author

Edoardo De Din, Martina Josevski, Marco Pau, Ferdinanda Ponci, Antonello Monti, and Publica

Subjects
General Computer Science, ddc:621.3, Voltage control, General Engineering, General Materials Science, Smart grids, Networked control systems, Electrical and Electronic Engineering, 621.3, Distributed optimization
Abstract

IEEE access 10, 50508-50522 (2022). doi:10.1109/ACCESS.2022.3171345, Published by IEEE, New York, NY

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