Results 81 to 90 of about 165,732 (302)

An audio FIR-DAC in a BCD process for high power Class-D amplifiers [PDF]

, 2005
A 322 coefficient semi-digital FIR-DAC using a 1-bit PWM input signal was designed and implemented in a high voltage, audio power bipolar CMOS DMOS (BCD) process. This facilitates digital input signals for an analog class-D amplifier in BCD.
Annema, A.J., Berkhout, M., Doorn, T.S., Nauta, B., Schinkel, D., Tuijl, E. van   +5 more
core   +2 more sources

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

An assessment of H‐bridge less grid‐tied multilevel inverter with minimum device count and lesser total standing voltage

IET Power Electronics, EarlyView., 2023
An innovative switched‐capacitor‐based inverter is proposed in this article. The suggested converter can produce a five‐level output voltage by utilizing minimal components (single dc source, six switches, and one capacitor). The effectiveness of the suggested inverter is verified by experimental results using hardware in loop OPAL‐RT OP4510.
Tamiru Debela, Jiwanjot Singh, Vijay K. Sood   +2 more
wiley   +1 more source

Hybrid controller-based solar-fuel cell-integrated UPQC for enrichment of power quality

Paladyn, 2023
A fuzzy-integrated sliding mode-based hybrid controller (FISMHC) attributed to unified power quality conditioner (UPQC) was proposed in this study through implementation with solar integrated to fuel cell through incorporation of UPQC within sequence ...
Sai Sarita Narala Chitti, Suresh Reddy Sanna, Sujatha Peddakotla   +2 more
doaj   +1 more source

Transcription Factor-DNA Binding Via Machine Learning Ensembles [PDF]

, 2018
We present ensemble methods in a machine learning (ML) framework combining predictions from five known motif/binding site exploration algorithms. For a given TF the ensemble starts with position weight matrices (PWM's) for the motif, collected from the ...
DeLisi, Charles, Fan, Yue, Kon, Mark
core  

Biohybrid Tendons Enhance the Power‐to‐Weight Ratio and Modularity of Muscle‐Powered Robots

Advanced Science, EarlyView.
Biohybrid robots powered by skeletal muscle actuators are capable of dynamically adapting to environmental cues. This study takes inspiration from native muscle–tendon architecture by leveraging tough hydrogels as synthetic tendons for muscle actuators to enhance the power‐to‐weight ratio and modularity of biohybrid machines.
Nicolas Castro, Ronald Heisser, Maheera Bawa, Bastien Aymon, Sarah Wu, Annika Marschner, Sonika Kohli, Angel Bu, Laura Rosado, Martin Culpepper, Xuanhe Zhao, Ritu Raman   +11 more
wiley   +1 more source

Harmonic elimination of a fifteen‐level inverter with reduced number of switches using genetic algorithm

IET Power Electronics, EarlyView., 2023
This article presents a Fifteen‐level inverter topology that has a lesser number of switches (12) and can accommodate isolated DC sources. The total harmonic elimination (THD) of the proposed topology using genetic algorithm is within the IEEE 519 standards. Further, the fifteen‐level inverter is implemented in Hardware and firing pulses were generated
Yogesh Joshi, Shimi Sudha Letha, Farhad Ilahi Bakhsh, Gopal Lal Jaat, Suyash Tilak   +4 more
wiley   +1 more source

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

Detection and mitigation of false data injection attack in DC–DC synchronous boost converter: A real‐time implementation using shallow neural network model

IET Power Electronics, EarlyView., 2023
This article proposes a neural network‐based cyber attack detection and mitigation scheme to detect and mitigate false data injection attacks on the sensors. Neural networks are used for the prediction of duty; a combination of a data sampler and a binary attack detector detects the presence of an attack.
Venkata Siva Prasad Machina, Sreedhar Madichetty, Sriranga Suprabhath Koduru, Mohan Krishna Banda, Sukumar Mishra   +4 more
wiley   +1 more source

Comparative Analysis among DSP and FPGA-based Control Capabilities in PWM Power Converters [PDF]

, 2004
PWM power converters are close to be mature for standard diffusion. New FPGA technologies could now realise at best the digital control key-points: flexible performance and time to market.
Fratta, Antonino, Griffero, G., Nieddu, S.   +2 more
core   +1 more source