Search results for "Identification"
showing 10 items of 1600 documents
Soft Sensor Design, Transferability and Causality through Machine Learning Techniques
2023
Prnu Pattern Alignment for Images and Videos Based on Scene Content
2019
This paper proposes a novel approach for registering the PRNU pattern between different camera acquisition modes by relying on the imaged scene content. First, images are aligned by establishing correspondences between local descriptors: The result can then optionally be refined by maximizing the PRNU correlation. Comparative evaluations show that this approach outperforms those based on brute-force and particle swarm optimization in terms of reliability, accuracy and speed. The proposed scene-based approach for PRNU pattern alignment is suitable for video source identification in multimedia forensics applications.
Identification of Key miRNAs in Regulation of PPI Networks
2020
In this paper, we explore the interaction between miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and consequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this interaction matrix and the set of deregulated proteins, we search for the miRNA subset that influences the deregulated proteins with a minimum impact on the not deregulated ones. This regulation problem can be formulated as a complex optimization problem. In this paper, we have tried to solve it by using the Genetic Algorithm Heuristic. As the main result, we have found a set of miRNA…
A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems
2010
The basic aim of a biometric identification system is to discriminate automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal biometric identification systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy and dependability. In this paper, an innovative multimodal biometric identification system based on iris and fingerprint traits is proposed. The paper is a state-of-the-art advancement of multibiometrics, offering an innovative perspective on features fusion. In greater detail, a frequency-based approach result…
An Embedded Module for Iris Micro-Characteristics Extraction
2009
In this paper a new approach, based on iris micro-characteristics, has been used to make possible an embedded biometric extractor. This recognition approach is based on ophthalmologic studies that have proven the existence of different micro-characteristics as well as fingerprint minutiae. These micro-characteristics are permanent and immutable and they can be used to create strong and robust identification systems.Biometric recognition systems are critical components of our everyday lives. Since such electronic products evolve to software intensive systems, where software, becoming larger, more complex and prevalent, introduces many problems in the development phases. The development of em…
SecureBallot: A secure open source e-Voting system
2021
Abstract Voting is one of the most important acts through which a community can make a collective decision. In recent years, many works have focused on improving traditional voting mechanisms and, as a result, a wide range of electronic voting (e-Voting) systems have been proposed. Even though some approaches have achieved a proper level of usability, the main challenges of e-Voting are essentially still open: protect the privacy of participants, guarantee secrecy, anonymity, integrity, uniqueness, and authenticity of votes, while making e-Voting as trustful as voting. In order to address this issue, we present SecureBallot, a secure open-source e-Voting system that completely decouples the…
A Data Association Algorithm for People Re-Identification in Photo Sequences
2010
In this paper, a new system is presented to support the user in the face annotation task. Every time a photo sequence becomes available, the system analyses it to detect and cluster faces in set corresponding to the same person. We propose to model the problem of people re-identification in photos as a data association problem. In this way, the system takes advantage from the assumption that each person can appear at most once in each photo. We propose a fully automated method for grouping facial images, the method does not require any initialization neither a priori knowledge of the number of persons that are in the photo sequence. We compare the results obtained with our method and with s…
A data association approach to detect and organize people in personal photo collections
2011
In this paper we present a method to automatically segment a photo sequence in groups containing the same persons. Many methods in literature accom- plish to this task by adopting clustering techniques. We model the problem as the search for probable associations between faces detected in subsequent photos con- sidering the mutual exclusivity constraint: a person can not be in a photo two times, nor two faces in the same photo can be assigned to the same group. Associations have been found considering face and clothing descriptions. In particular, a two level architecture has been adopted: at the first level, associations are computed within meaningful temporal windows (situations); at the …
Genealogie dell'empatia. Brecht, Lessing e Stanislavskij
2018
Sulla base di concetti quali empatia, compassione e immedesimazione, il lavoro mette a confronto le teorie estetiche di Brecht, Lessing e Stanislavskij. Ricostruendo le tappe del fecondo rapporto di scambio dialettico che lega il drammaturgo tedesco del '900 all'attore e regista russo e al drammaturgo teorico della drammaturgia della compassione del 700, si analizza un caso di tormentata ricezione. Based on concepts such as empathy, compassion and identification, the work compares the aesthetic theories of Brecht, Lessing and Stanislavsky.
L’importanza dei prerequisiti e dello screening precoce nella scuola dell’infanzia
2016
Questo contributo si propone di sottolineare l’importanza di alcune competenze cognitive, detti prerequisiti, che sono implicate nell’acquisizione delle abilità di lettura e scrittura come ad esempio: la conoscenza dell’alfabeto; la consapevolezza fonologica; la denominazione rapida automatica (RAN); la memoria fonologica e la processazione visiva. Numerose ricerche, anche internazionali, mostrano l’importanza dell’esercizio di tali abilità all’interno della scuola dell’infanzia anche ai fini della prevenzione dello sviluppo di difficoltà di apprendimento e/o di veri e propri disturbi nella successiva carriera accademica del bambino. Inoltre, la realizzazione di interventi didattici mirati …