Results 101 to 110 of about 4,922,677 (347)
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Fuzzy Control of a Germination Chamber
Journal of Computer Science and Technology, 2017 The design of a fuzzy control system for a germination chamber for hydroponic crops is presented. The system measures humidity and temperature inside the chamber and, by means of a Sugeno type fuzzy controller embedded in an Arduino board, it generates ...
Marcelo Marinelli +3 more
doaj
Advanced Materials, EarlyView.Triply‐twinned architected lattices transform deformation from bending to stretching of struts, delivering up to threefold increases in stiffness and strength across polymeric and metallic systems. High‐resolution synchrotron XCT and image‐based simulations reveal how meta‐grain architecture, defects, and AM build orientation govern failure pathways ...
David McArthur +7 more
wiley +1 more source
Design and simulation of the fuzzy control system based on the granular function
上海师范大学学报. 自然科学版, 2017 Fuzzy control is a control method that is built by the fuzzy mathematics theory.In controlling field,it is especially suitable for some control system whose mathematical model can not be accurately built by exact math.But in fuzzy controlling field,the ...
Tang Wei, Yin Ye, Peng Ye
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Multi-loop Control Systems of Compensators for Powerful Sounding Pulses Generators [PDF]
, 1996 Construction principles of multi-loop control systems of compensators for powerful sounding pulses generators are presented. A method for controlling a compensating system using fuzzy logic and forecast control ideas is described.
Knepper, M. +3 more
core
FUZZY CONTROL OF QUEUEING SYSTEMS
, 2014 Summarization: . 1: Introduction -- Ch. 2: Control of the number of servers -- Ch. 3: Control of the service rate -- Ch. 4: Control of the queue discipline -- Ch.
openaire +2 more sources
Distributed Fuzzy Control of Multivariable Systems [PDF]
, 1996 It is known that many control processes are characterized by both quantitative and qualitative complexity. Tbe quantitative complexity is usually expressed in a large number of state variables, respectively high dimensional mathematical model. Tbe qualitative complexity is usually associated with uncertain behaviour, respectively approximately known ...
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Advanced Materials, EarlyView.A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings
Advanced Materials, EarlyView.Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed +9 more
wiley +1 more source
Clustering of tethered satellite system simulation data by an adaptive neuro-fuzzy algorithm [PDF]
Recent developments in neuro-fuzzy systems indicate that the concepts of adaptive pattern recognition, when used to identify appropriate control actions corresponding to clusters of patterns representing system states in dynamic nonlinear control systems,
Mitra, Sunanda, Pemmaraju, Surya
core +1 more source