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Optical Music Recognition in Manuscripts from the Ricordi Archive

The Ricordi archive, a prestigious collection of significant musical manuscripts from renowned opera composers such as Donizetti, Verdi and Puccini, has been digitized. This process has allowed us to automatically extract samples that represent various musical elements depicted on the manuscripts, including notes, staves, clefs, erasures, and composer’s annotations, among others. To distinguish between digitization noise and actual music elements, a subset of these images was meticulously gro...

Prospettive sull'integrazione di musicologia, filologia e tecnologia

L 'obiettivo del progetto Laudare è quello di esaminare e studiare in modo completo la tradizione italiana della poesia devozionale cantata nota come “Lauda”. Questo genere di canti era diffuso in tutta la penisola italiana dal XIII al XV secolo. La Lauda, trasmessa principalmente oralmente, era una forma popolare di musica che rifletteva le caratteristiche sociali del suo tempo. Comprendeva testi composti da poeti rinomati ed era cantato sia su musiche esistenti che originali. Studiando le l...

ExpSSOA-Deep maxout: Exponential Shuffled shepherd optimization based Deep maxout network for intrusion detection using big data in cloud computing framework

The evolution of the Internet produced a large quantity of information. This makes the internet world more complex and affected by powerful attacks. In modern networks, the Intrusion Detection System (IDS) acts as a significant function for network security. The IDS can be either anomaly or signature-based behavior detection. Recently, several detection approaches have been proposed by researchers to find network intrusions. In this paper, a deep learning approach to intrusion detection using...

Comparative performance analysis of AES encryption algorithm for various LVCMOS on different FPGAs

Purpose Privacy and security of personal data is the prime concern in any communication. Security algorithms play a crucial role in privacy preserving and are used extensively. Therefore, these algorithms need to be effective as well as energy-efficient. Advanced Encryption Standards (AES) is one of the efficient security algorithms. The principal purpose of this research is to design Energy efficient implementation of AES, as it is one of the important aspects for a step toward green computi...

Environment-friendly FSM design on ultra-scale architecture: energy-efficient green computing approach

Purpose The Purpose of this research is to make an energy efficient finite state machine (FSM) in order to achieve the core objective of green computing because FSM is an indispensable part of multiple computer hardware. Design/methodology/approach This study uses ultra-scale plus FPGA architecture in place of seven-series field-programmable gate array (FPGA) for the implementation of the FSM design and also uses output load scaling for the design of environment-friendly FSM. This design stu...

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Prodotti recenti

Optical Music Recognition in Manuscripts from the Ricordi Archive

Prospettive sull'integrazione di musicologia, filologia e tecnologia

ExpSSOA-Deep maxout: Exponential Shuffled shepherd optimization based Deep maxout network for intrusion detection using big data in cloud computing framework

Comparative performance analysis of AES encryption algorithm for various LVCMOS on different FPGAs

Environment-friendly FSM design on ultra-scale architecture: energy-efficient green computing approach

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