Suchergebnisse - "Power demand"

ViT-Reg: Regression-Focused Hardware-Aware Fine-Tuning for ViT on TinyML Platforms

Autoren: Md Ragib Shaharear Arnab Neelim Mazumder Tinoosh Mohsenin

Quelle: IEEE Design & Test. 42:35-44

Schlagwörter: real-time and energy efficient deployment, Polynomials, Regression, tinyML Hardware, Hardware, Transformers, Tiny machine learning, Power demand, Training, Computer vision, Computer architecture, Head, Accuracy, Vision Transformer

Analog VLSI Implementation of Subthreshold Spiking Neural Networks and Its Application to Reservoir Computing

Autoren: Satoshi Moriya Masaya Ishikawa Satoshi Ono et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Neurons, Mathematical models, Spiking neural networks, Analog circuit, Transistors, Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica, Circuits, Information processing, Synapses, Spiking neural network, Neuromorphic computing, Power demand, Membrane potentials, Reservoir computing

Dateibeschreibung: application/pdf

Demand Response in power off-grid microgrids in Nigeria: a game theory approach

Autoren: Diatta, Racine Loisel, Rodica Richefort, Lionel

Weitere Verfasser: Diatta, Racine Loisel, Rodica Richefort, Lionel

Quelle: Global Energy Interconnection. 8:581-597

Schlagwörter: Game theory Power demand flexibility Microgrid, Microgrid, Power demand flexibility, [SHS] Humanities and Social Sciences, Game theory

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05205589v1
https://doi.org/10.1016/j.gloei.2025.06.003
https://hal.science/hal-05205589v1/document

Perpetual Reconfigurable Intelligent Surfaces Through In-Band Energy Harvesting: Architectures, Protocols, and Challenges

Autoren: Ntontin, Konstantinos Boulogeorgos, Alexandros-Apostolos A. Abadal, Sergi et al.

Quelle: IEEE Vehicular Technology Magazine. 19(1):36-44

Schlagwörter: Computer architecture, Protocols, Power demand, Channel estimation, Wireless communication, Impedance, Tuning, Reconfigurable intelligent surfaces, 6G mobile communication, Energy efficiency, Power amplifiers, Energy harvesting, Electromagnetics

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-364749
https://doi.org/10.1109/MVT.2023.3344994

Integer Linear Programming-Based Simultaneous Scheduling and Binding for SiLago Framework

Autoren: Pudi, Dhilleswararao Malviya, Shivam Boppu, Srinivas et al.

Quelle: IEEE Access. 12:124081-124094

Schlagwörter: Random access memory, Radio frequency, Registers, Switches, Dynamic scheduling, Reconfigurable architectures, Distributed management, Memory management, Integer linear programming, Scheduling, Power demand, Coarse-grain reconfigurable architecture, dynamically reconfigurable resource array, distributed memory architecture, high-level synthesis, binding

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-354595
https://doi.org/10.1109/ACCESS.2024.3453503

A Bit-Level Double Counter Enabling Power-Efficient High-Bandwidth VCO-ADCs

Autoren: Simon Ooghe Brendan Saux Tobias Cromheecke et al.

Quelle: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Schlagwörter: coarse-fine readout structure, Technology and Engineering, Signal to noise ratio, Decoding, Latches, Costs, double coarse counter, Bandwidth, ADC, ambiguity resolution, Circuits, DESIGN, DELTA-SIGMA ADC, Power demand, asynchrony, Delays, VCO, Voltage-controlled oscillators, Noise shaping, FOM

Dateibeschreibung: application/pdf

Zugangs-URL: https://biblio.ugent.be/publication/01K4SGY5QXG17G4363ZHN7K85X
http://hdl.handle.net/1854/LU-01K4SGY5QXG17G4363ZHN7K85X
http://doi.org/10.1109/tcsii.2025.3587495
https://biblio.ugent.be/publication/01K4SGY5QXG17G4363ZHN7K85X/file/01K4SHCT01RPWWH9FHA9D07YG8

Mutual Coupling in Dynamic Metasurface Antennas: Foe, but Also Friend

Autoren: Prod'homme, Hugo del Hougne, Philipp Jonchère, Laurent

Weitere Verfasser: Prod'homme, Hugo del Hougne, Philipp Jonchère, Laurent

Quelle: IEEE Wireless Communications. 32:30-36

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, [SPI] Engineering Sciences [physics], Computer Science - Information Theory, Antenna (radio), Base stations, FOS: Physical sciences, Applied Physics (physics.app-ph), Sensitivity, Coupling (piping), FOS: Electrical engineering, electronic engineering, information engineering, Antenna arrays, Electrical Engineering and Systems Science - Signal Processing, 6G mobile communication, Directional antenna, Information Theory (cs.IT), Computational modeling, Physics - Applied Physics, Antenna radiation patterns, Computer science, Materials science, Costs, Metasurfaces, Metallurgy, Telecommunications, Power demand, Mutual coupling

Zugangs-URL: http://arxiv.org/abs/2412.01002
https://hal.science/hal-05233880v1
https://doi.org/10.1109/mwc.001.2400497

Design Space Exploration of an In-Sensor Processor for Object Classification in Ultracompact Time-of-Flight Sensors

Autoren: Andrea Fasolino Rosalba Liguori Luigi Di Benedetto et al.

Quelle: IEEE Sensors Journal. 25:25450-25458

Schlagwörter: Sensors, Accuracy, Calculators, Adaptation models, Convolutional neural networks, Training, Intelligent sensors, Power demand, Space exploration, Single-photon avalanche diodes, Convolutional neural network (CNN), hardware (HW) accelerator, object classification, time-of-flight (ToF), tiny machine learning (ML)

Simplified Transceivers for Short-Reach Coherent-Lite Systems

Autoren: Ye, X Savory, SJ DSpace at Cambridge pro (8.1)

Weitere Verfasser: Ye, X Savory, SJ DSpace at Cambridge pro (8.1)

Quelle: Journal of Lightwave Technology. 43:6017-6028

Schlagwörter: Transceivers, analog circuits, passive optical network, Complexity theory, digital signal processing, Access network, Optical signal processing, Optical polarization, Costs, lite-coherent, optical communication systems, Optical sensors, Optical receivers, Power demand, data center interconnect, Data centers, Passive optical networks, coherent-lite

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.repository.cam.ac.uk/handle/1810/385693
https://doi.org/10.17863/cam.119206
https://doi.org/10.1109/jlt.2025.3581121

Packing Multiple Types of Cores for Energy-Optimized Heterogeneous Hardware-Software Co-Design of Moldable Streaming Computations

Autoren: Litzinger, Sebastian Keller, Jorg Kessler, Christoph

Quelle: IEEE Access. 11:19301-19311

Schlagwörter: Space exploration, Throughput, Hardware design languages, Power demand, Multicore processing, Software design, Packing rectangles, heterogeneous multi-core CPU, design space exploration, hardware-software co-design

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-192956
https://liu.diva-portal.org/smash/get/diva2:1749974/FULLTEXT01.pdf

Information-Theoretic Study of Time-Domain Energy-Saving Techniques in Radio Access

Autoren: Rottenberg, François

Quelle: IEEE Transactions on Green Communications and Networking. 9:605-620

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Technology, EFFICIENCY, Computer Science - Information Theory, channel capacity, 4606 Distributed computing and systems software, 02 engineering and technology, 7. Clean energy, Symbols, 01 natural sciences, Time-domain analysis, Hardware, DESIGN, SYSTEMS, 0103 physical sciences, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, physical layer, radio access technologies, Load modeling, Science & Technology, Resource management, 4008 Electrical engineering, Information Theory (cs.IT), MASSIVE MIMO, Energy consumption, 4006 Communications engineering, Telecommunications, Power demand, 0210 nano-technology

Zugangs-URL: http://arxiv.org/abs/2303.17898
https://lirias.kuleuven.be/handle/20.500.12942/748001
https://doi.org/10.1109/tgcn.2024.3443649

Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System

Autoren: Latif, Imran Newkirk, Alex C Carbone, Matthew R et al.

Quelle: IEEE Access. 13

Schlagwörter: Information and Computing Sciences, Bioengineering, Networking and Information Technology R&D (NITRD), Affordable and Clean Energy, Artificial intelligence, Training, Hardware, Power measurement, Graphics processing units, Power demand, Benchmark testing, Visualization, Stress, Computational modeling, AI training, sustainable computing, GPU power measurements, large language models, Engineering, Technology, Information and computing sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/6rm197hd
https://escholarship.org/content/qt6rm197hd/qt6rm197hd.pdf

Advanced Quantization Schemes to Increase Accuracy, Reduce Area, and Lower Power Consumption in FFT Architectures

Autoren: Garrido Gálvez, Mario Bautista Loza, Víctor Manuel Portas Fernández, Alejandro et al.

Quelle: IEEE Transactions on Circuits and Systems I: Regular Papers, ISSN 1558-0806, 2025-01, Vol. 72, No. 1
Archivo Digital UPM
Universidad Politécnica de Madrid
RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Schlagwörter: half-unit biased (HUB) representation, Telecomunicaciones, accuracy, Half-unit biased (HUB), Throughput, 7. Clean energy, Fast Fourier transform (FFT), Arquitectura de ordenadores, Power demand, Single-delay feedback (SDF), Electrónica, Computer architecture, single-delay feedback (SDF), Matemáticas computacionales, Accuracy, Quantization (signal), Fast Fourier transforms

Dateibeschreibung: application/pdf

Zugangs-URL: https://oa.upm.es/87787/
https://hdl.handle.net/10630/32122

Simultaneous multi-objective framework of natural gas pipeline network operations

Autoren: Mostafa Hussein Mohamed

Quelle: Chemical Industry and Chemical Engineering Quarterly, Vol 31, Iss 1, Pp 83-92 (2025)

Schlagwörter: Chemical engineering, multi-objective optimization, power demand, HD9650-9663, Chemical industries, line pack, mathematical modeling, TP155-156, gas pipeline network, topsis, 7. Clean energy

Zugangs-URL: https://doaj.org/article/2d8ddfefed964d7288e961aef9c74596

Comparison and System Development of a Two-Coil and Three-Coil Inductive Link for Transcutaneous Power Transfer

Autoren: Maarten Schelles Ward Lievens Laurens Goyvaerts et al.

Quelle: IEEE Access, Vol 13, Pp 109219-109233 (2025)

Schlagwörter: Technology, TRANSMISSION, three-coil, WIRELESS LINKS, FREQUENCY, Receivers, Radio transmitters, 46 Information and computing sciences, 09 Engineering, Optical transmitters, DELIVERY, Engineering, DESIGN, 10 Technology, inductive power transmission, Implants, visual prosthesis, inductive coupling, OPTIMIZATION, electrical stimulation, Skin, 40 Engineering, Science & Technology, Computer Science, Information Systems, Q-factor, two-coil, Biomedical circuits, Engineering, Electrical & Electronic, Coils, Voltage, MICROSTIMULATION, PERFORMANCE, TK1-9971, INTERFACE, Magnetic fields, STIMULATOR, Computer Science, Telecommunications, Power demand, 08 Information and Computing Sciences, Electrical engineering. Electronics. Nuclear engineering, neural prosthesis, neurostimulation

Zugangs-URL: https://doaj.org/article/20a8a229fd7a49fc871f67fc78a9d1bd
https://lirias.kuleuven.be/handle/20.500.12942/769823
https://doi.org/10.1109/access.2025.3581460

Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing

Autoren: Mattia Sinigaglia Amirhossein Kiamarzi Marco Bertuletti et al.

Quelle: IEEE Transactions on Circuits and Systems I: Regular Papers. :1-15

Schlagwörter: FOS: Computer and information sciences, Hardware Architecture (cs.AR), FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Vectors, Tensors, Computer architecture, Energy efficiency, Ultrasonic imaging, Artificial intelligence, Program processors, Power demand, Frequency-domain analysis, Vector processors, Heterogeneous, RISC-V, vector, tensor, FFT, low-power, embedded, ultrasound SoC, WUS SoC, frequency-domain SoC, Computer Science - Hardware Architecture, Electrical Engineering and Systems Science - Systems and Control

Zugangs-URL: http://arxiv.org/abs/2503.04581
https://hdl.handle.net/11380/1388761
https://doi.org/10.1109/TCSI.2025.3580939

Exploring the effects of a warmer climate on power and energy demand in multi-family buildings in a Nordic climate

Autoren: Milić, Vlatko Rohdin, Patrik

Quelle: Environmental Advances. 15

Schlagwörter: Energy signature, Regression analysis, Future heat demand, Future power demand, Residential district, Nordic climate

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-46188
https://doi.org/10.1016/j.envadv.2024.100502

Design of A Two-Stage Control Strategy of Vanadium Redox Flow Battery Energy Storage Systems for Grid Application

Autoren: Xiong, Binyu Tang, Jinrui Li, Yang et al.

Quelle: IEEE Transactions on Sustainable Energy. 13(4):2079-2091

Schlagwörter: Redox, Vanadium, Renewable energy sources, Electrolytes, optimal operation, multi-physics model, Power demand, control strategy, Resistance, system efficiency, Vanadium redox flow battery

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/532420
https://research.chalmers.se/publication/532682
https://research.chalmers.se/publication/532682/file/532682_Fulltext.pdf

Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks

Autoren: Xun, Qian Murgovski, Nikolce Liu, Yujing

Quelle: IEEE Transactions on Vehicular Technology. 71(5):4863-4878

Schlagwörter: energy buffer, sequential convex programming., chance-constrained, wheel power demand, Fuel cell hybrid electric trucks (FCHETs)

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/528970
https://research.chalmers.se/publication/528942
https://research.chalmers.se/publication/528970/file/528970_Fulltext.pdf

Multi-Leak Deep-Learning Side-Channel Analysis

Autoren: Hu, Fanliang Wang, Huanyu Wang, Junnian

Quelle: IEEE Access. 10:22610-22621

Schlagwörter: Mathematical models, Software, Side-channel attacks, Deep learning, Power demand, Neural networks, Feature extraction, AES, multiple leakage, multi-input model

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-310194
https://doi.org/10.1109/ACCESS.2022.3152831