Adaptive control is a very appealing technology, at least in principle. Yet its use has been conditioned by an attitude of distrustfulness on the part of some practitioners. In this paper, we review some concepts, the isolation of which was necessary to engender confidence in the technology. These include the unpredictable failure of the MIT rule; the bursting phenomenon, and how to prevent it;...

The Conventional control approach may not be suitable for non-linear systems and for the systems with considerable parameter variations over a period of time. On the other hand adaptive control techniques proved to be a convenient tool in dealing with the above said systems. The Model Reference Adaptive Systems (MRAS) with performance specifications given in terms of reference model is tried fo...

MOTIVATION Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. Therefore, the ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. In this article, classification by using associative P...

Presented is a paradigm of how a design concept can be converted into a system of production rules to generate designs. The rules are expressed by the means of shape grammar formalism. The paradigm demonstrates how porosity a concept transferred from biology, medicine and organic chemistry was implemented by architect Steven Holl and his team in designing the 350-unit student residence Simmons ...

We study the quark angular momentum distribution in the nucleon within a light-front covariant quark model. Special emphasis is put into the orbital angular momentum: a quantity which is very sensitive to the relativistic treatment of the spin in a light-front dynamical approach. Discrepancies with the predictions of the low-energy traditional quark models where relativistic spin effects are ne...

This paper addresses the problem of language distribution estimation from unlabeled data. We present a new algorithm that treats automated classifier identification outputs as likelihoods and iteratively applies Bayes’ rule to reclassify the data using successively improving distribution estimates as “priors”. Experimental results using the MIT LL submission to the NIST LRE07 evaluation show si...

One of the most promising ways of improving the performance of deep convolutional neural networks is by increasing the number of convolutional layers. However, adding layers makes training more difficult and computationally expensive. In order to train deeper networks, we propose to add auxiliary supervision branches after certain intermediate layers during training. We formulate a simple rule ...

Abstract This paper aims to improve summer power generation of the Yeywa Hydropower Reservoir in Myanmar using modified multi-step ahead time-varying hedging (TVH) rule as a case study. The results TVH rules were compared with standard operation policy (SOP) rule, binary (BSOP) discrete (DH) (SH) one-point (OPH) and two-point (TPH) rule. Multi-Objective Genetic Algorithm (MOGA) was utilized dri...

I study how limited abilities to process information affect choice behavior. I model the decision making process by an automaton, and measure the complexity of a specific choice rule by the minimal number of categories an automaton implementing the rule uses to process information. I establish that any choice rule that is less complicated than utility maximization displays framing effects. I th...

Severity assessment in the elderly with community acquired pneumonia (CAP) may be different compared with younger patients. In particular, age per se may not be of prognostic significance in older patients. A case-control study in 158 patients aged > or = 75 yrs with CAP was conducted to determine the factors associated with in-hospital mortality. Cases were drawn from all patients aged > or = ...