Search results for "SHO"

Localization Operators and an Uncertainty Principle for the Discrete Short Time Fourier Transform

2014

Localization operators in the discrete setting are used to obtain information on a signalffrom the knowledge on the support of its short time Fourier transform. In particular, the extremal functions of the uncertainty principle for the discrete short time Fourier transform are characterized and their connection with functions that generate a time-frequency basis is studied.

A Simple Cardiovascular Model for the Study of Hemorrhagic Shock

2020

Hemorrhagic shock is the number one cause of death on the battlefield and in civilian trauma as well. Mathematical modeling has been applied in this context for decades; however, the formulation of a satisfactory model that is both practical and effective has yet to be achieved. This paper introduces an upgraded version of the 2007 Zenker model for hemorrhagic shock termed the ZenCur model that allows for a better description of the time course of relevant observations. Our study provides a simple but realistic mathematical description of cardiovascular dynamics that may be useful in the assessment and prognosis of hemorrhagic shock. This model is capable of replicating the changes in mean …

Unsupervised Eye Blink Artifact Identification in Electroencephalogram

2018

International audience; The most prominent type of artifact contaminating electroencephalogram (EEG) signals is the eye blink (EB) artifact. Hence, EB artifact detection is one of the most crucial pre-processing step in EEG signal processing before this artifact can be removed. In this work, an approach that identifies EB artifacts without human supervision and automated varying threshold setting is proposed and evaluated. The algorithm functions on the basis of correlation between two EEG electrodes, Fp1 and Fp2, followed by EB artifact threshold determination utilizing the amplitude displacement from the mean. The proposed approach is validated and evaluated in terms of accuracy and error…

Biologinen sosiaalisen mallina. Valintoja uuden hedelmöityshoitolain kentällä.

2007

Tarkastelen artikkelissa hedelmöityshoitoja koskevan lakiprosessin aikaista kamppailua, joka realisoitui Laiksi hedelmöityshoidoista (1237/2006). Analysoin tarkemmin lain viidettä pykälää (1237/2006, 5§) sekä siitä lakiesityksessä HE 3/2006 esitettyjä perusteluja. Pykälän mukaan lääkärin tulee valita sukusolujen luovuttajista hoitoa saavan parin osapuolia muistuttavat henkilöt, sillä lapsen tulee saada muistuttaa myös sosiaalista vanhempaansa. Analysoin lain viidennen pykälän sisältämiä vanhempien ja lapsen asemaa koskevia lausumia modaalisuusanalyyttisesti käyttäen apuna semioottista neliötä. Neliön kautta ilmennän hoitoihin osallistuvien positioiden modaalista astevaihtelua, joka osoittaa…

A Segmentation System for Soccer Robot Based on Neural Networks

2000

An innovative technique for segmentation of color images is proposed. The technique implements an approach based on thresholding of the hue histogram and a feed-forward neural network that learns to recognize the hue ranges of meaningful objects. A new function for detecting valleys of the histogram has been devised and tested. A novel blurring algorithm for noise reduction that works effectively when used over hue image has been employed. The reported experimental results show that the technique is reliable and robust even in presence of changing environmental conditions. Extended experimentation has been carried on the framework of the Robot Soccer World Cup Initiative (RoboCup).

Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines

2020

The Tsetlin Machine (TM) is a recent interpretable machine learning algorithm that requires relatively modest computational power, yet attains competitive accuracy in several benchmarks. TMs are inherently binary; however, many machine learning problems are continuous. While binarization of continuous data through brute-force thresholding has yielded promising accuracy, such an approach is computationally expensive and hinders extrapolation. In this paper, we address these limitations by standardizing features to support scale shifts in the transition from training data to real-world operation, typical for e.g. forecasting. For scalability, we employ sampling to reduce the number of binariz…

Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images

2021

Abstract Losses of electricity production in photovoltaic systems are mainly caused by the presence of faults that affect the efficiency of the systems. The identification of any overheating in a photovoltaic module, through the thermographic non-destructive test, may be essential to maintain the correct functioning of the photovoltaic system quickly and cost-effectively, without interrupting its normal operation. This work proposes a system for the automatic classification of thermographic images using a convolutional neural network, developed via open-source libraries. To reduce image noise, various pre-processing strategies were evaluated, including normalization and homogenization of pi…

Diverging Collectives: Artist-Run Spaces versus Warehouse Shows Comparative models of art production and cooperation among young British artists

2017

The paper addresses the case of artist-run spaces and warehouse shows in the United Kingdom between the 1980s and 1990s, a time when autonomous group shows and independent artist collectives sprawled particularly thanks to the engagement of a new generation of artists, among whom were found later celebrities such as Damien Hirst and Douglas Gordon. It will be argued that both artist-run spaces and warehouse shows were feasible solutions for young authors against art market barriers and economic crisis, although they held structural and organisational differences that would affect aesthetic outcomes and present art history with a shift in the model of the art collective.

Experiencing Artistic Innovativeness in Opera Shows

2022

A new apparatus for the study of avoidance conditioning in fishes

1981

An apparatus for the study of avoidance conditioning in fishes is described. The chamber is cylindrical in shape, with shocking electrodes placed above and below the animals, and response is defined as swimming a predetermined distance in either direction along a circumferential path. This apparatus has several advantages over the conventional shuttlebox: (1)There is little constraint on the direction of swimming; (2) the magnitude of response (swimming distance) required for avoidance can easily be varied over a wide range; and (3) variation in the effectiveness of shock with the position of the animal relative to the position of the electrodes is minimized. Some sample data obtained in a …