Phasically active sensory systems commonly influence rhythmic motor activity via synaptic actions on the relevant circuit and/or motor neurons. Using the crab stomatogastric nervous system (STNS), we identified a distinct synaptic action by which an identified proprioceptor, the gastropyloric muscle stretch receptor (GPR) neuron, regulates the gastric mill (chewing) motor rhythm. Previous work ...

Reliable measurements of ball mill load parameters and reorganization of the operating statuses are the key factors for saving energy and optimization control. Empirical mode decomposition (EMD) and partial least squares (PLS) are used to analyze shell vibration signal and monitor mill load parameters of ball mill. The shell vibration signal is decomposed into several intrinsic mode functions (...

A customer who places a tentative order at a steel mill customarily receives a due-date quotation, namely the date by which the mill says that it will ship the order. The steel mill wants the due date to be early enough so that the customer won’t balk (withdraw the order), but late enough so that the probability of tardiness is low. This note obtains expressions for the tardiness probability at...

Sugar is the most important food supplement of our daily diet. During production, sugar mills use a large volume water and produce significant amount wastewater polluted with high organic compounds. Therefore, it necessary to treat before their disposal. For this reason, article presents results obtained from monitoring coupled system aged refuse filled bioreactors (ARFB) in full scale mill. Th...

Single-crystal silicon carbide (SiC)-based pressure sensors can be used in harsh environments, as they exhibit stable mechanical and electrical properties at elevated temperatures. A fiber-optic pressure sensor with an all-SiC sensor head was fabricated and is herein proposed. SiC sensor diaphragms were fabricated via an ultrasonic vibration mill-grinding (UVMG) method, which resulted in a smal...

The aim of the research is to control the quality of the pulp and the functional condition of the refiners using statistical process control (SPC) and fuzzy modelling techniques. The on-line measurements and the SPC parameters are combined with the Mamdani type fuzzy models. The models and the “indexes” are used for the optimisation and the fault diagnosis purposes in the industrial scale pulp ...

In a Bayesian framework, we give a principled account of how domain-speciic prior knowledge such as imperfect analytic domain theories can be optimally incorporated into networks of locally-tuned units: by choosing a speciic architecture and by applying a speciic training regimen. Our method proved successful in overcoming the data deeciency problem in a large-scale application to devise a neur...

In a Bayesian framework, we give a principled account of how domainspecific prior knowledge such as imperfect analytic domain theories can be optimally incorporated into networks of locally-tuned units: by choosing a specific architecture and by applying a specific training regimen. Our method proved successful in overcoming the data deficiency problem in a large-scale application to devise a n...