We tested the ability of Alzheimer's patients and elderly controls to name living and non-living nouns, and manner and instrument verbs. Patients' error patterns and relative performance with different categories showed evidence of graceful degradation for both nouns and verbs, with particular domain-specific impairments for living nouns and instrument verbs. Our results support feature-based, ...

This paper outlines a RBF/EBF neural network approach for automatic musical instrument classification using salient feature extraction techniques with a combination of supervised and unsupervised learning schemes. 829 monophonic sound examples (86% Siedlaczek Library [2], 14% other sources) from the string, brass, and woodwind families with a variety of performance techniques, dynamics, and pit...

Robots promise to enhance minimally-invasive surgery, but flexion of the thin instrument shaft introduces error into models of the robot kinematics. Visual or electromagnetic tracking of the instrument tip provides correct forward kinematics, but uncertainty in shaft bending and port location leaves residual errors in inverse kinematics. These errors can cause incorrect motions that preclude th...

The perceptual error of the investors is one of the issues discussed in behavioral finance. The perceptual error is a wrong sensual or perceptual error.  That is, what we see or hear does not match with the reality. Regarding the fact that the perception of individuals is affected by their worldview and beliefs and religious attitudes can also affect their viewpoint, in this study, the relation...

This paper presents a neural network approach for classification of musical instrument sounds through Radial and Elliptical Basic Functions. In particular, we discuss a novel automatic network fine-tuning method called Nearest Centroid Error Clustering (NCC) which determines a robust number of centroids for improved system performance. 829 monophonic sound examples from the string, brass, and w...

Using three-dimensional Monte Carlo radiative transfer simulations, we examine the effect of beam transmissometer geometry on the relative error in the measurement of the beam-attenuation coefficient in an aquatic environment characterized by intense light scattering, especially within submerged bubble clouds entrained by surface-wave breaking. We discuss the forward-scattering error associated...

INTRODUCTION This paper describes the design and some initial evaluation of a prototype instrument for measuring roundness profiles of axially symmetric micro components with diameters below 500 μm. The instrument will measure form error in micro-scale cutting tools used for micro machining, small-hole metrology probes, and other high aspect ratio micro structures. The instrument will operate o...

A robotic system is presented that uses threedimensional ultrasound to visually servo a surgical instrument. Tracking of both the surgical instrument and a target was done using image based algorithms on the real-time 3D ultrasound data. The tracking techniques are shown to be especially amenable for execution on powerful graphics processor units. By harnessing a graphics card, it was possible ...

Instrument recognition is one of the music information retrieval research topics. This task becomes very challenging if several instruments are played simultaneously because of their varying physical characteristics: inharmonic attack noise, energy development during attack–decay–sustain–release envelope or overtone distribution. In our framework, we treat instrument detection as a machine-lear...

We present an experimental method based on Ohm’s Law to calibrate the Keithley 6485 picoammeter with the calibration error less than 0.4 pico-ampere (pA), which is specified as the highest sensitivity of this instrument. The maximum calibration difference between the measurement current and the calibration current in the picoammeter’s 2 nano-ampere (nA) range is 0.25 pA. This difference is far ...