Search results for "processo"
showing 10 items of 648 documents
Video preprocessing for audiovisual indexing
2003
We address the problem of detecting shots of subjects that are interviewed in news sequences. This is useful since usually these kinds of scenes contain important and reusable information that can be used for other news programs. In a previous paper, we presented a technique based on a priori knowledge of the editing techniques used in news sequences which allowed a fast search of news stories (see Albiol, A. et al., 3rd Int. Conf. on Audio and Video-based Biometric Person Authentication, p.366-71, 2001). We now present a new shot descriptor technique which improves the previous search results by using a simple, yet efficient, algorithm, based on the information contained in consecutive fra…
A Formal Model for Developing of the self-Diagosing and Self-Repairing 8-Bits Microprocessor, and Its Investigation Using Simulation
1986
Abstract The complete model of functional diagnostics is theoretically described. It specifies the conditions, which must be satisfied if the system to be self-diagnosable. The general principles of constructing self-diagnosable systems are enumerated. The model enables the realization of self-renewal, too. The model has been developed on the basis of the works by Preparata, Metze, Chien (1967) and Hakimi, Amin (1974) . The model contains a method of diagnostics completely separeted from the physical structure of the system. Recent results (Gruber, 1978; Swiatek, 1982) indicate that it is only necessary to know the set of transformations realized by the circuit. The model has been applied t…
2D ECG Image Based Biometric Identification Using Stacked Autoencoders
2021
The handcrafted features extraction methods have achieved remarkable results in ECG based biometric identification. However, they are sensitive to many factors: (1) intra and inter-individual variability, (2) heart rate variability, (3) powerline interference, baseline wander and muscle artifacts. To deal with these issues, deep learning approaches have been proposed to extract automatically the important features almost from original data without any preprocessing step (i.e., The original ECG signal mostly contains noise). Unlike conventional ECG based biometric approaches, which based either on fiducial and non-fiducial methods, the proposed approach can be implemented on end to end syste…
MANUTENZIONE DELL’AMBIENTE COSTRUITO: QUANTO RESTA DELLA NOTTE?
2021
Confrontando la manutenzione dell’ambiente costruito con la stessa attività riferita, in genere, ai prodotti manifatturieri, importanti caratteristiche specifiche emergono, sia nelle tecnologie di processo che di prodotto. Infatti, per le costruzioni lo stretto legame tra manutenzione e qualità acquisisce, in più, notevoli implicazioni di ordine sociale e collettivo, sia se applicata a edifici e spazi pubblici, sia se riferita all’edilizia residenziale privata. Nonostante ciò, tenendo conto della tendenza al “constructuring” che sembra indirizzare il futuro dell’edilizia sotto gli influssi della digitalizzazione, è ugualmente utile tener presente gli avanzamenti nel campo della manutenzione…
IL DOPPIO PROCESSO A FINALITA' RISARCITORIA DEL DANNO ERARIALE TRA LE SENTENZA DELLA CORTE EDU 'RIGOLIO' ED IL CODICE DELLA GIUSTIZIA CONTABILE
2017
II contributo esamina il tema della giurisdizione sul danno alla pubblica amministrazione nel caso di doppio processo a finalità risarcitoria del danno erariale, traendo spunto dalla sentenza della Corte EDU 'Rigolio' (13 maggio 2014, su ricorso n. 20148/09) ed anche alla luce della recente entrata in vigore del d.lgs. 26 agosto 2016, n. 174, con il quale e stato approvato il «Codice di giustizia contabile» ai sensi dell'articolo 20 della legge 7 agosto 2015, n.124. Nonostante la delega legislativa indicasse esplicitamente quale obiettivo principale «la concentrazione delle tutele spettanti alla cognizione della giurisdizione contabile», alla successiva attuazione non può, tuttavia, attribu…
A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC
2012
H.264/AVC is the most recent predictive video compression standard to outperform other existing video coding standards by means of higher computational complexity. In recent years, heterogeneous computing has emerged as a cost-efficient solution for high-performance computing. In the literature, several algorithms have been proposed to accelerate video compression, but so far there have not been many solutions that deal with video codecs using heterogeneous systems. This paper proposes an algorithm to perform H.264/AVC inter prediction. The proposed algorithm performs the motion estimation, both with full-pixel and sub-pixel accuracy, using CUDA to assist the CPU, obtaining remarkable time …
Indústria têxtil de Santa Catarina e sua capacidade inovadora: Estudo sob a perspectiva da eficiência, eficácia, custos e melhoria de processos
2014
Santa Catarina se destaca como um dos principais parques produtivos do setor têxtil. Assim como as demais indústrias têxteis brasileiras, a catarinense vem sofrendo pressões de mercado, principalmente dos países asiáticos. O estudo teve como objetivo identificar se as dimensões - eficiência, eficácia, custos e as melhorias de processo – estão associadas ao desempenho da inovação na indústria têxtil de Santa Catarina. A pesquisa foi descritiva, exploratória e causal, de levantamento ou survey e quantitativa. A amostra foi composta por 441 respondentes de 16 organizações do estado de Santa Catarina. Os dados foram analisados por meio de análise fatorial exploratória, análise fatorial confirma…
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation
2018
In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge. The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. Our model includes a cardiac center-of-mass regression module which allows for an automatic shape prior registration. Also, since our method processes raw MR images without any manual preprocessing and/or image cropping, our CNN learns both high-level features (useful to distinguish the heart from other organs with a similar shape) and low-level features (useful to get accurate segmentation results).…
MicroRNAs: Promising New Antiangiogenic Targets in Cancer
2014
[EN] MicroRNAs are one class of small, endogenous, non-coding RNAs that are approximately 22 nucleotides in length; they are very numerous, have been phylogenetically conserved, and involved in biological processes such as development, differentiation, cell proliferation, and apoptosis. MicroRNAs contribute to modulating the expression levels of specific proteins based on sequence complementarity with their target mRNA molecules and so they play a key role in both health and disease. Angiogenesis is the process of new blood vessel formation from preexisting ones, which is particularly relevant to cancer and its progression. Over the last few years, microRNAs have emerged as critical regulat…
I rimedi contro l'ingiustizia della sentenza nel diritto romano
2016
Lo scritto esamina i diversi rimedi contro la sentenza ingiusta o viziata nel diritto romano. The essay deals with the several remedies against void and unfair judgments in Roman law