Results 241 to 250 of about 26,748 (274)

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Failure Analysis of a Novel Ceramic-Coated Floating Oil Seal Considering O-Ring Initial Assembly Deformation. [PDF]

Materials (Basel)
Zhang Y, Wang F, Li Z, Sun B, Chen T, Wang J.   +5 more
europepmc   +1 more source

QuAPPro: an R shiny app for quantification and alignment of polysome profiles. [PDF]

BMC Bioinformatics
Schiller C, Lemmer M, Reitter S, Lehmann JA, Fenzl K, Schott J.   +5 more
europepmc   +1 more source

The impact of positive and negative affect on aperiodic EEG activity: evidence for a shared neural basis of metacontrol and emotion. [PDF]

Cereb Cortex
Fan J, Lyu S, Xu X, Colzato L, Hommel B.
europepmc   +1 more source

High-throughput phenotyping for climate-resilient forests: integrating multi-sensor fusion and root-shoot dynamics. [PDF]

Front Plant Sci
Lou J, Peng Y, Lyu N, Fan X, Liang H, Li Y.   +5 more
europepmc   +1 more source

Agricultural machinery automatic navigation technology. [PDF]

iScience
Yao Z, Zhao C, Zhang T.
europepmc   +1 more source

An innovative approach to welding robot operator reliability analysis using extended TESEO and HEART methods. [PDF]

Sci Rep
Pałęga M, Salwin M, Chmielewski TM, Przybyłowicz P.   +3 more
europepmc   +1 more source

The Automatic Generation of a Mathematical Model for Machinery Systems

Journal of Engineering for Industry, 1973
This paper presents a detailed explanation of a technique for automatically generating a mathematical model for machinery systems. The process starts from a relatively small amount of input data and develops the information required to model a mechanical system with Lagrange’s equation.
D. A. Smith, M. A. Chace, A. C. Rubens
openaire   +1 more source

Automatic generation method of optimum symptom parameters for condition diagnosis of plant machinery by genetic algorithms

Proceedings First International Symposium on Environmentally Conscious Design and Inverse Manufacturing, 1999
When using computers for the automatic condition diagnosis of plant machinery, symptom parameters (SP) extracted from some signals are indispensable. Currently, however there is no acceptable method for attracting the optimum SP. In order to overcome this difficulty and ensure highly accurate condition diagnosis, a new method called the "automatic ...
P. Chen, T. Toyota
openaire   +1 more source