Search results for "automatic"

Geometric optimal control : homotopic methods and applications

2012

This work is about geometric optimal control applied to celestial and quantum mechanics. We first dealt with the minimum fuel consumption problem of transfering a satellite around the Earth. This brought to the creation of the code HamPath which permits first of all to solve optimal control problem for which the command law is smooth. It is based on the Pontryagin Maximum Principle (PMP) and on the notion of conjugate point. This program combines shooting method, differential homotopic methods and tools to compute second order optimality conditions. Then we are interested in quantum control. We study first a system which consists in two different particles of spin 1/2 having two different r…

Frequency Stability Measurement of Cryogenic Sapphire Oscillators with a Multichannel Tracking DDS and the Two-Sample Covariance

2018

This article shows the first measurement of three 100 MHz signals exhibiting fluctuations from 2E-16 to parts in 1E-15 for integration time tau between 1 s and 1 day. Such stable signals are provided by three Cryogenic Sapphire Oscillators (CSOs) operating at about 10 GHz, also delivering the 100 MHz output via a dedicated synthesizer. The measurement is made possible by a 6-channel Tracking DDS (TDDS) and the two-sample covariance tool, used to estimate the Allan variance. The use of two TDDS channels per CSO enables high rejection of the instrument background noise. The covariance outperforms the Three-Cornered Hat (TCH) method in that the background converges to zero "out of the box," wi…

A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series

2021

Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…

Towards Automatic Testing of Reference Point Based Interactive Methods

2016

In order to understand strengths and weaknesses of optimization algorithms, it is important to have access to different types of test problems, well defined performance indicators and analysis tools. Such tools are widely available for testing evolutionary multiobjective optimization algorithms. To our knowledge, there do not exist tools for analyzing the performance of interactive multiobjective optimization methods based on the reference point approach to communicating preference information. The main barrier to such tools is the involvement of human decision makers into interactive solution processes, which makes the performance of interactive methods dependent on the performance of huma…

ROAD -Robotic Assisted Diving: physiology of diving

2014

Attenzione e prestazione

2012

L'attenzione è uno dei processi cognitivi più complessi. È un presupposto di tutte le altre attività psichiche – memoria, percezione, apprendimento, problem solving. L'attenzione si riferisce alla selettività del processo di elaborazione. Il fatto di stare attenti implica infatti, la necessità di selezionare soltanto una porzione degli innumerevoli stimoli che possiamo percepire coi nostri sensi, guardando, toccando, ascoltando, annusando o assaggiando. L’attenzione implica il distogliere il pensiero da alcune cose per dedicarsi selettivamente ad altre. Dunque, c’è una quantità finita di cose a cui possiamo prestare attenzione nello stesso momento. Ciò accade perché il nostro cervello possi…

A Low Cost Customizable Micro-ROV for Environmental Research - Applications, Advances and Challenges

2016

Summary Several shallow submarines areas are characterized by considerable releases of hydrocarbon gases, which, during earthquakes or volcanic activity, may suddenly and violently occur. In some instances, changes in chemical and physical properties of gas emissions, which are generated by geothermal systems connected to the volcanoes’ plumbing system, are important precursors of volcanic activity and useful indices for the study of the geothermal field. Furthermore, some superficial structures such faults, landslide slopes or archaeological relics should be studied with such a high detail that geophysical and bathymetric surveys are unable to provide. In response to the needs increasingly…

Nepārtrauktās integrācijas koncepts bankas kodola sistēmās

2019

Maģistra darbā detalizēti tiek analizēts esošais bankas kodola sistēmu izstrādes process, kas ir novecojis - nenodrošina pienācīgu versiju kontroli, testēšanu un piegādes ātrumu. Darba gaitā autors izskata nepārtrauktās integrācijas konceptu un iespēju to pielietot bankas kodola sistēmu izstrādes procesā. Šīs sistēmas ir būvētas izmantojot specifisku Progress Open Edge tehnoloģiju. Tiek apskatīti nepieciešamie rīki, kā arī aprakstītas ieviešanas vadlīnijas. Darba rakstīšanas gaitā autors jau daļēji ievieš nepatrauktās integrācijas rīkus un pielieto tos bankas kodola sistēmu piegādēm. Veicot rezultātu analīzi autors secināja, ka konkrētajā situācijā izmantojot nepārtrauktās integrācijas kanā…

Retrieving and broadcasting near-real-time biophysical parameters from MODIS and SEVIRI receiving stations at the global change unit of the Universit…

2015

We present here the automatic processing chains implemented at the Global Change Unit of the University of Valencia. These allow for a near-real-time retrieval of various biophysical parameters from both Sun-synchronous TERRA/AQUA Moderate Resolution Imaging Spectroradiometer MODIS and geostationary Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager MSG SEVIRI sensors. Retrieved parameters, namely sea and land surface temperatures SST and LST, respectively, normalized difference vegetation index NDVI, and vegetation condition index VCI, are similar for both sensors, and specific approaches have been developed and implemented for near-real-time parameter retrievals: htt…

Consequences of applying new technologies to sources of law (overview)

2020

Technological change has a very significant impact on the functioning of a lawyer. It is not only an advocate, judge, adviser or notary public with a law, but also specialized software in which the law is incorporated. The quality of this software, safety but also the certainty of its correctness is very important for legal certainty and functioning of lawyers. Modern law is not only the text of legal acts or contracts but also IT codes in which the law is incorporated (for example, smart contract). The law is controlled by the courts. The question arises as to who will control the codes in which the law is written. In the EU, only a few countries have recognised this problem when creating …