Results 41 to 50 of about 8,730,293 (397)
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Mechanical property changes of gear surfaces in high-speed hobbing
Nihon Kikai Gakkai ronbunshuIn recent years, high-precision gears are expected to be used in vehicles and robots. Currently, gear hobbing is widely used as a roughing process while shaving and grinding are used as finishing processes to improve the accuracy and surface quality of ...
Yuki UEDA +4 more
doaj +1 more source
Journal of Manufacturing and Materials Processing, 2020 During the milling of thin-walled workpieces, the natural frequencies might change radically due to the material removal. To avoid resonant spindle speeds and chatter vibration, a precise knowledge of the instantaneous modal parameters is necessary. Many
Daniel Bachrathy +5 more
doaj +1 more source
Procedia CIRP, 2018 Abstract The machinability of materials depends on various factors including the workpiece materials and condition, the cutting tool data and the machining conditions (wet or dry). Most tool life data found in literature are established using dry machining conditions.
Guillaume Kientzy +2 more
openaire +2 more sources
Evolutionary interplay between viruses and R‐loops
FEBS Letters, EarlyView.Viruses interact with specialized nucleic acid structures called R‐loops to influence host transcription, epigenetic states, latency, and immune evasion. This Perspective examines the roles of R‐loops in viral replication, integration, and silencing, and how viruses co‐opt or avoid these structures.
Zsolt Karányi +4 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
A method of numerically controlled machine part programming [PDF]
, 1970 Computer program is designed for automatically programmed tools. Preprocessor computes desired tool path and postprocessor computes actual commands causing machine tool to follow specific path.
core +1 more source
FEBS Letters, EarlyView.This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao +7 more
wiley +1 more source
Effect of WC on microstructure and properties of induction brazing diamond coating
Jin'gangshi yu moliao moju gongcheng, 2023 The diamond coating was prepared on Q235 steel by adding WC micro-powder to a nickel-based filler metal during induction brazing. The effects of WC powder on the microstructure and wear resistance of the diamond coating were studied.
Qilong WU +6 more
doaj +1 more source