| This paper presents technology that extends the concept of end-point control of a exiblelink robot arm to handle payloads with unknown internal dynamics. The approach is based on merging high-performance control with an innovative identi cation algorithm in a self-tuning regulator framework. Payload dynamics are identi ed in real-time using recently developed subspace tting techniques. Su cie...

We examine whether the O(a) improved quark action on anisotropic lattices can be used as a framework for the heavy quark, which enables precision computation of matrix elements of heavy-light mesons. To this end, it is crucial to verify that a mass independent and nonperturbative tuning of the parameters is possible. As a first step, we observe the dispersion relation of heavy-light mesons on a...

Tree-like structures such as retinal images are widely studied in computer-aided diagnosis systems for largescale screening programs. Despite several segmentation and tracking methods proposed in the literature, there still exist several limitations specifically when two or more curvilinear structures cross or bifurcate, or in the presence of interrupted lines or highly curved blood vessels. In...

In this paper method of design of self-tuning fuzzy PID controller is addressed, proposed and tested. Fuzzy logic is used to tune each parameter of PID controller. The proposed controller is tested in control of the thermo-optical plant. This paper deals with theoretical and practical methodology, offering approaches for control design and its successful application.

Evidence for instances of astrophysical ‘fine tuning’ (or ‘coincidences’) is thought by some to lend support to the design argument (i.e. the argument that our universe has been designed by some deity). We assess some of the relevant empirical and conceptual issues. We argue that astrophysical fine tuning calls for some explanation, but this explanation need not appeal to the design argument. A...

This paper tests a learning-based model of strategic teaching in repeated games with incomplete information. The repeated game has a long-run player whose type is unknown to a group of short-run players. The proposed model assumes a fraction of ‘short-run’ players follow a one-parameter learning model (self-tuning EWA). In addition, some ‘long-run’ players are myopic while others are sophistica...

In this paper, a novel technique is presented to solve tolerance design problems. To achieve the desired performance tolerance, the technique uses a subtle, but significant, change in the design: the addition of a tuning parameter in place of an increase in component precision. Statistical models are used to develop a framework for the tuning parameter design method. Also developed is a new, di...

Tiling, a key transformation for optimizing programs, has been widely studied in the literature. Parameterized tiled code is important for auto-tuning systems since they often execute a large number of runs with dynamically varied tile sizes. In this paper, we present a comparative study of three recently developed approaches to parametric tiling of imperfectly nested loops.

The issue of tuning in Indian classical music has been, historically, a matter of theoretical debate. In this paper, we study its contemporary practice in sung performances of Carnatic and Hindustani music following an empiric and quantitative approach. To do so, we select stable fundamental frequencies, estimated via a standard algorithm, and construct interval histograms from a pool of record...

This paper refers to our prosperous development of algorithms for detecting keywords in continuous speech. Two different approaches to define confidence measures are introduced. As an advantage, these definitions are theoretically calculable without artful tuning. Moreover, two distinct decoding algorithms are presented, that incorporate these confidence measures into the search procedure. One ...