130 research outputs found
Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach
No full textNanofibrous materials produced by electrospinning process may exhibit characteristic localized defects and anomalies (i.e., beads, speck of dust) that make the nanostructure a network of nonhomogeneous nanofibers, unsuitable for industrial production at large scale of the nanoproducts.Ieracitano, Cosimo Therefore, monitoring and controlling the quality of nanomaterials production has become increasingly important and intelligent anomalies detection systems have been emerging. Pantó, Fabiola In this study, we propose an innovative framework based on machine (deep) learning for automatic anomaly detection.Mammone, Nadia Specifically, a deep convolutional neural network (CNN) is proposed to automatically classify scanning electron microscope (SEM) images of homogeneous (HNF) and nonhomogeneous nanofibers (NHNF), interpreted as two different categories.Paviglianiti, Annunziata The proposed approach has been validated on experimental SEM images acquired through SEM images analyzer on polyvinylacetate (PVAc) nanofibers produced by electrospinning process. Frontera, Patrizia Experimental results showed that the designed deep CNN achieved an accuracy rate up to 80% and average precision, recall, F_score of, 78.5, 79, and 78.5%, respectively. These promising results encourage the use of this effective technique in industrial production.Morabito, Francesco Carl
Sulle tracce di un motivo patristico nella letteratura slava ecclesiastica serba
No full textA Pratistic Motif in Serbian Church Slavic Literature
In manuscript 159 MSPC the author verifies the presence of the same text that preceded Slovo ljubve in ms 29 of Narodna Biblioteka Srbije, lost during the bombardments of 1941. The motif of a fishermen enlightened by God that dates back to Emphrem Syrus’ Parenaesis appears in it. The author follows this motif in its tracks in older Serbian Church Slavonic literature (in the lives of St. Simeun and St. Sava by Domentijan), in Slavic and Byzantine liturgy, and in patristic literature (John Chrysostom) and hymnography (Roman the Melodist)
The birth of clinical psychology in the scientific work of Lightner Witmer [La nascita della psicologia clinica nell'opera di Lightner Witmer sui bambini con ritardo mentale.]
No full textThe paper deals with the beginning of Clinical Psychology in the first years of XX century, when a central role was played by the theoretical and practical approach on mental retardation and behavioural disorders of L. Witmer. The author describes the cultural formation of Witmer, between Structural Psychology and Functionalism, and the special attention he devoted to the management and education of children affected by mental retardation and behavioural problems. ... Any child, the functions of whose brain are not developed up to the normal limit for his age, is suffering from retardation ... Retardation must be defined in terms of individual capacity for physical and mental development...
A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers
No full textThe manufacturing of nanomaterials by the electrospinning process requires accurate and meticulous inspection of related scanning electron microscope ( SEM ) images of the electrospun nanofiber, to ensure that no structural defects are produced. The presence of anomalies prevents practical application of the electrospun nanofibrous material in nanotechnology. Hence, the automatic monitoring and quality control of nanomaterials is a relevant challenge in the context of Industry 4.0. In this paper, a novel automatic classification system for homogenous ( anomaly-free ) and non-homogenous ( with defects ) nanofibers is proposed. The inspection procedure aims at avoiding direct processing of the redundant full SEM image. Specifically, the image to be analyzed is first partitioned into sub-images ( nanopatches ) that are then used as input to a hybrid unsupervised and supervised machine learning system. In the first step, an autoencoder ( AE ) is trained with unsupervised learning to generate a code representing the input image with a vector of relevant features. Next, a multilayer perceptron ( MLP ) , trained with supervised learning, uses the extracted features to classify non-homogenous nanofiber ( NH-NF ) and homogenous nanofiber ( H-NF ) patches. The resulting novel AE-MLP system is shown to outperform other standard machine learning models and other recent state-of-the-art techniques, reporting accuracy rate up to 92.5% . In addition, the proposed approach leads to model complexity reduction with respect to other deep learning strategies such as convolutional neural networks ( CNN ) . The encouraging performance achieved in this benchmark study can stimulate the application of the proposed scheme in other challenging industrial manufacturing tasks
“Il dono della ninfa e la ragione umana. Riflessioni sull’etica nel teatro di Marino Darsa”
No full textThe author studies the development of the ethic framework of Marin Držić ‘s theatre. By delineating evolution of the “ratio mundane” concept, particularly in the Pastoral Tirena and in the Comedy “Skup”, She shows the maturation of the writer’s pessimism which will lead Him to give up theatre and literature, to project a “coup d’etat” in His Country and after to finish in exile
RITMIčESKA PAMET I FORMALNI STRUKTURI (BELEŽKI V"RHU PROIZVEDENIJATA, PRIPISVANI NA EVFIMIJA)
No full textThe author went through some formal frames in texts written by the Serbian nun Euphemia, traditionally labelled as poetic works. Due to the lack of clear matrical patterns, an analysis on the basis of logical-syntactic scanning was performed. The scansion, as well as partial accentual regularity (isocolic constructions), showed a clear well organized rhetorical speech with several devices of an ornate prose style. The second work of Euphemia's, especially, revealed a rich phonical-rhytmical tissue
Integration and differentiation at the basis of metaphor
No full textCognitive neurosciences indicate that integration and differentiation are two fundamental properties of conscious experience as well as of the nervous system.
The Author analyses Bernstein’s idea of dexterity (1946-47) and Edelman’s idea of degeneracy (2001) in their historical and theoretical context, and suggests that these brain-mind characteristics are at the basis of the neurobiological mechanisms of metaphor creation
Riccardo Picchio sulle lingue letterarie degli Slavi
No full textSUMMARY
According to Riccardo Picchio’s vision of Slavic cultures, the history of literary languages
represents a leading axis of Slavic cultural history. This theme has been developed
from the beginning of his scientific activity in a strictly comparative way.
The Author delineates the development of Picchio’s researches in this branch,
emphasizing how they offered a fundamental contribution to international Slavistics,
especially as regards the study of the wide Church Slavonic linguistic community in
its long duration and under a supranational point of view.
Picchio’s interpretation of Slavic linguistic and cultural history, his methodology
and his terminology represent a heritage continuing to urge debates among scholars in
national and international Slavic studies
SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials
No full textIn this paper an optimized deep Convolutional Neural Network (CNN) for the automatic classification of Scanning Electron Microscope (SEM) images of homogeneous (HNF) and nonhomogeneous nanofibers (NHNF) produced by electrospinnig process is presented. Specifically, SEM images are used as input of a Deep Learning (DL) framework consisting of: a Sobel filter based pre-processing stage followed by a CNN classifier. Here, such DL architecture is denoted as SoCNNet. The Polyvinylacetate (PVAc) SEM image of NHNF and HNF dataset collected at the Materials for Environmental and Energy Sustainability Laboratory of the University Mediterranea of Reggio Calabria (Italy) is used to evaluate the performance of the developed system. Experimental results (average accuracy rate up to 80.27%±0.0048 ) demonstrate the potential effectiveness of the proposed SoCNNet in the industrial chain of nanofibers production
- …
