SciTePress - Affiliation Profile

Affiliation

Select a Subject
Refine Ontology Subject

University of Camerino, Italy

Context (please use complete words only)

Field

Sort by

16 Papers

Loop Grammars to Identify RNA Structural Patterns

Topic: Pattern Recognition, Clustering and Classification

Authors: Michela Quadrini , Emanuela Merelli and Riccardo Piergallini

Affiliation: School of Science and Technology, University of Camerino, Via Madonna della Carceri 9, 62032, Camerino and Italy

Digital Object Identifier: 10.5220/0007576603020309

Proceedings of BIOINFORMATICS 2019, ISBN: 978-989-758-353-7

Quick Abstract

The biological functions of an RNA molecule are largely determined by molecular configuration. Understanding the link between the structure and the biological functions has been considered one of the challenges in biology. In this study, we face the problem of identifying a given structural pattern into an RNA pseudoknot-free secondary structure. We introduce a context-free grammar, Loop Grammar, that formalizes the primary and secondary structure of an RNA molecule as a composition of loops. Such composition is expressed as to concatenation or nesting of the simplest structural elements, hairpins, generated during the folding process when a bond between two nonconsecutive nucleotides is established. Then, we formalize the concatenation and nesting on Fatgraphs, oriented surfaces with boundary, and we define a Surface Loop Grammar, whose algebraic expressions uniquely identify such surfaces associated with given RNA structures. The terms of the Loop Grammar allow us to face the problems of identifying substructures considering both the primary and secondary structures, while the strings generated by Surface Loop Grammar permit to identify a given structural pattern in a secondary structure in terms of relations among hairpins. Both use the string pattern matching.

Related Ontology Subjects/Areas/Topics (3)

Bioinformatics

Biomedical Engineering

Pattern Recognition, Clustering and Classification

Loop-loop Interaction Metrics on RNA Secondary Structures with Pseudoknots

Topics: Structural Bioinformatics; Pattern Recognition, Clustering and Classification

Authors: Michela Quadrini and Emanuela Merelli

Affiliation: University of Camerino, Italy

Digital Object Identifier: 10.5220/0006610700290037

Proceedings of BIOINFORMATICS 2018, ISBN: 978-989-758-280-6

Quick Abstract

Many methods have been proposed in the literature to face the problem of RNA secondary structures comparison.From a biological point of view, most of these methods are satisfactory for the comparison of pseudoknot free secondary structures, whereas the problem of pseudoknotted motifs comparison has not been solved yet. In this paper, we propose loop-loop interaction metrics, a new measure able to compute the distance of two pseudoknotted secondary structures by comparing loops and their interactions. The new measure is defined for RNA molecules whose structural and biological information is represented as algebraic expressions of hairpin loops, so that each RNA secondary structure can be represented as a word, which describes the interactions among loops and uniquely defines the intersection set, the set of pairs of loops that cross. Hence, the interaction metrics is defined as the symmetric set difference applied to the intersection sets of molecules. To illustrate how to apply the proposed methodology, we compare two RNA molecules, PKB66 and PKB10, extracted from Pseudobase++ database. To test the validity of the measure, we evaluated the evolutionary conservation of the pseudoknot domain of Vertebrate Telomerase RNA.

Related Ontology Subjects/Areas/Topics (4)

Bioinformatics		Pattern Recognition, Clustering and Classification		Structural Bioinformatics
Biomedical Engineering

A Pattern for Enabling Multitenancy in Legacy Application

Topics: Cloud Application Portability; Cloud Solution Design Patterns; Cloud Migration

Authors: Flavio Corradini , Francesco De Angelis , Andrea Polini and Samuele Sabbatini

Affiliation: University of Camerino, Italy

Digital Object Identifier: 10.5220/0005799502570264

Proceedings of CLOSER 2016, ISBN: 978-989-758-182-3

Quick Abstract

Multitenancy is one the new property of cloud computing paradigm that change the way of develop software. This concept consists in the aggregation of different tenant in one single istance in contrast with the classic single-tenant concept. The aim of multitenancy is the reduction of costs, the hardware needed is less than single-tenant application, and also the mantainance of the system is less expensive. On the other hand, applications need an high configuration level in order to satisfy the requirements of each tenant. In this paper is presented a pattern that enable legacy applications to handle a multitenancy database. After the presentation of the different approach that implements multitenancy at database system, it is proposed the pattern that aims to interact with this kind of database managing the different customization of different tenant at database level.

Related Ontology Subjects/Areas/Topics (3)

Cloud Application Portability

Cloud Computing

Fundamentals

A Flexible Architecture to Monitor Dynamic Web Services Composition

Topics: System Integration; Web Services and Web Engineering

Authors: Flavio Corradini , Francesco De Angelis , Daniele Fani' and Andrea Polini

Affiliation: University of Camerino, Italy

Digital Object Identifier: 10.5220/0005444800640072

Proceedings of WEBIST 2015, ISBN: 978-989-758-106-9

Quick Abstract

A Service Oriented Architecture aims to facilitate interaction of loosely coupled services in large-scale dynamic systems. Despite a decade’s active research and development, Web Services still remain undependable (Bourne et al., 2012). In literature many proposals attempt to overcome interoperability issues, particularly typical of not-orchestrated Web Service (WS) compositions. Although these techniques aid to discover potential interoperability mismatches, they do not fit well with flexibility and dynamism, desirable characteristics e.g. in choreographies. Here unsafe run-time changes may compromise a correct execution. To support such dynamism and to mitigate the effects of such failures, we propose a flexible architecture able to realize dynamic WS compositions, supporting run-time monitoring and verification techniques. The technique we chose is a novel run-time algorithm capable to predict potential failures that can happen in near future states of a choreography. It admits an integration ”a-priori” and monitors the run-time services behaviour to provide information about possible errors when these can happen.

Related Ontology Subjects/Areas/Topics (4)

Internet Technology		Web Information Systems and Technologies		Web Services and Web Engineering
System Integration

An Integration Platform for Private Assisted Houses

Topics: Smart Environments and Housing; Home Care Monitoring Systems; Remote Monitoring; Assistive Technology and Adaptive Systems

Authors: Flavio Corradini ¹ , Francesco De Angelis ¹ , Barbara Re ¹ , Emiliano Anceschi ² , Massimo Callisto De Donato ² and Paolo Iddas ²

Affiliations: ¹ University of Camerino, Italy , ² Filippetti S.p.A and SmartSpace s.r.l, Italy

Digital Object Identifier: 10.5220/0005436000450052

Proceedings of ICT4AgeingWell 2015, ISBN: 978-989-758-102-1

Quick Abstract

A Private Assisted House aims to define a novel care model focusing on the changing needs of people to promote active life expectancy. This raises the need of personalization in the design and development of Smart Home, so starting from users requirements we stress the need of integration suitable to support such changing requirements. In this paper we discuss Private Assisted House integration platform focusing on its conceptual model and reference architecture. The platform is defined around a set of smart objects managed by a home gateway that communicate with a Cloud Center. This organization provide two kinds of processing: (i) local to the house, and (ii) remote. The local processing involves events, triggers, commands and automations managed directly for the gateway. The remote processing implies communication from the house to the Cloud Center that can provide intelligence to the house using high-level applications that use data correlation to perform specific tasks.

Cloud Readiness Assessment of Legacy Application

Topics: Cloud Application Portability; Cloud Risk, Challenges, and Governance; Cloud Governance

Authors: Flavio Corradini , Francesco De Angelis , Andrea Polini and Samuele Sabbatini

Affiliation: University of Camerino, Italy

Digital Object Identifier: 10.5220/0005443301190126

Proceedings of CLOSER 2015, ISBN: 978-989-758-104-5

Quick Abstract

Applications and services hosted in the cloud are increasing continuously. Cloud technology offers important perspectives (performance, high availability, elasticity) and it enables new business models. Unfortunately, this new paradigm faces unprecedent requirements not addressed in legacy application (multi-tenancy, scalability, etc.). This leads to complex re-engineering phases in order to to migrate existing software into a cloud environment. Before starting a migration, it is important to analyze the cloud compliance of the application, what to expect after the migration and the effort required to fulfill these expectations. This paper assesses a way to extract an index that describes the feasibility of the re-engineering. We test the metric with a real application that needs to be migrated to a private cloud.

Related Ontology Subjects/Areas/Topics (6)

Cloud Application Portability		Cloud Governance		Fundamentals
Cloud Computing		Cloud Risk, Challenges, and Governance		Services Science

Identity Management in Cloud Platforms using VOMS and SPID

Topics: System Integration; Authentication and Access Control

Authors: Francesco De Angelis , Fausto Marcantoni , Alberto Polzonetti and Samuele Rilli

Affiliation: University of Camerino, Italy

Digital Object Identifier: 10.5220/0005450800960103

Proceedings of WEBIST 2015, ISBN: 978-989-758-106-9

Quick Abstract

Cloud computing is being adopted more and more in recent years. It offers several benefits, such as high elasticity, availability and cost reduction, but yet presents some issues. Among the most important, the potential lack of security can affect the spreading of this technology. As cloud computing is pushing forward to the digital era, where users can have their own digital identity to access restricted resources or services, a reliable authentication and authorization system would attract more users to get involved in such process. This paper proposes an integration of the VOMS (Virtual Organization Membership Service) system for authorization and SPID (Sistema Pubblico per la gestione dell'Identità Digitale) system for authentication, within Cloud Foundry PaaS (Platform as a Service) model. Considerations, differences and interoperability matters will be addressed in order to provide a comprehensive scheme.

Related Ontology Subjects/Areas/Topics (7)

Access Control	Information and Systems Security	System Integration
Data Engineering	Internet Technology	Web Information Systems and Technologies
Databases and Data Security

CyberBrain - A Preliminary Experience on Non Human Primate

Topics: Mobile Technologies; Brain-Computer Interfaces; Stimulation Systems; Electrical Stimulation; Real Time Monitoringof Neuromuscular and Neural Activity

Authors: M. Piangerelli ¹ , A. Paris ² and P. Romanelli ²

Affiliations: ¹ University of Camerino, Italy , ² AB Medica s.p.a., Italy

Digital Object Identifier: 10.5220/0005089700940098

Proceedings of NEUROTECHNIX 2014, ISBN: 978-989-758-056-7

Quick Abstract

The study of abnormal electrical activity of the brain, such as epilepsy, is attracting more and more interest for its wide impact on the population. Intracranial EEG recording (electrocorticogaphy; EcoG) and direct cortical stimulation (DCS) are, nowadays, the most accurate and reliable techniques to map cortical function and to identify the boundaries of an epileptic focus. In this work we present the preliminary testing of intra-operative ECoG and DCS performed in a non-human primate using a new custom-made fully-implantable wireless 16-channels device (Patent Number: WO2012143850), called ECOGW-16E. This fully-integrated device, housed in a compact hermetically sealed Polyetheretherketone (PEEK) enclosure, exploits the newly available Medical Implant Communication Service band (MICS: 402-405 MHz). ECOGW-16E is wirelessly rechargeable using a special designed cage for recharge, developed in accordance with guidelines for accommodation of animals by Council of Europe.

Related Ontology Subjects/Areas/Topics (17)

Biomedical Engineering	Health Engineering and Technology Applications	Neuromodulation and Neural Prosthesis
Biomedical Instruments and Devices	Health Information Systems	Neurotechnology, Electronics and Informatics
Brain-Computer Interfaces	Human-Computer Interaction	Physiological Computing Systems
Devices	Mobile Technologies	Software Engineering
Distributed and Mobile Software Systems	Mobile Technologies for Healthcare Applications	Stimulation Systems
Electrical Stimulation	Neural Rehabilitation

RNN-based Model for Self-adaptive Systems - The Emergence of Epilepsy in the Human Brain

Topics: Pattern Recognition; Computational Neuroscience; Adaptive Architectures and Mechanisms; Complex Artificial Neural Network Based Systems and Dynamics

Authors: Emanuela Merelli ¹ and Marco Piangerelli ²

Affiliations: ¹ University of Camerino, Italy , ² Università di Camerino, Italy

Digital Object Identifier: 10.5220/0005165003560361

Proceedings of NCTA 2014/IJCCI, ISBN: 978-989-758-054-3

Quick Abstract

The human brain is the self-adaptive system par excellence. We claim that a hierarchical model for self-adaptive system can be built on two levels, the upper structural level S and the lower behavioral level B. The higher order structure naturally emerges from interactions of the system with its environment and it acts as coordinator of local interactions among simple reactive elements. The lower level regards the topology of the network whose elements self-organize to perform the behavior of the system. The adaptivity feature follows the self-organizing principle that supports the entanglement of lower level elements and the higher order structure. The challenging idea in this position paper is to represent the two-level model as a second order Long Short-Term Memory Recurrent Neural Network, a bio-inspired class of artificial neural networks, very powerful for dealing with the dynamics of complex systems and for studying the emergence of brain activities. It is our aim to experiment the model over real Electrocorticographical data (EcoG) for detecting the emergence of long-term neurological disorders such as epileptic seizures.

Related Ontology Subjects/Areas/Topics (20)

Adaptive Architectures and Mechanisms	Data Manipulation	Pattern Recognition
Artificial Intelligence	Health Engineering and Technology Applications	Physiological Computing Systems
Biomedical Engineering	Human-Computer Interaction	Sensor Networks
Biomedical Signal Processing	Methodologies and Methods	Signal Processing
Complex Artificial Neural Network Based Systems and Dynamics	Neural Networks	Soft Computing
Computational Intelligence	Neurocomputing	Theory and Methods
Computational Neuroscience	Neurotechnology, Electronics and Informatics

Reducing Power Consumption in Hydrometric Level Sensor Networks using Support Vector Machines

Topics: Adaptive Systems; Sensors and Sensor Networks

Authors: Marco Pellegrini ¹ , Renato De Leone ² , Pierluigi Maponi ² and Maurizio Ferretti ³

Affiliations: ¹ LIF srl, Italy , ² Università di Camerino, Italy , ³ Regione Marche - Centro Funzionale Multirischi, Italy

Digital Object Identifier: 10.5220/0004312602290232

Proceedings of PECCS 2013, ISBN: 978-989-8565-43-3

Quick Abstract

Environmental monitoring is a challeging task for both researchers and technical operators. Data loggers for ultrasonic hydrometric level sensors are compact devices equipped with microprocessor input channels and data storage. One of the critical issues that electronic engineers have to face in designing this kind of sensors is the energy consumption during the sensor startup phase preceding the level measurement. In this paper we propose a new methodology to reduce the power consumption by decreasing the sensor sampling rate when no flood events are occurring. This procedure allows the sampling rate to dynamically self-adapt based on the error between observed and predicted water level time-trend. Support Vector Machines are used to predict the hydrometric level given a limited number of previous samples. The method effectiveness has been tested on a real-world stage-discharge dataset.

Related Ontology Subjects/Areas/Topics (5)

Adaptive Systems		Embedded Communications Systems		Telecommunications
Digital Signal Processing		Sensors and Sensor Networks

Topic(s):

Filter listed results, by

Publication date

From:

To:

Author

Locate Author in list below

Data pager
Data pager
1 2 3 4 Page 1 of 4, items 1 to 10 of 32.

Add Author(s) to filter:

Andrea Polini (5)

Flavio Corradini (5)

Emanuela Merelli (5)

Francesco De Angelis (5)

M. Piangerelli (2)

Guglielmo Angelis (2)

Antonia Bertolino (2)

Samuele Sabbatini (2)

Barbara Thönssen (2)

Michela Quadrini (2)

Conference

Locate Conference in list below

Data pager
Data pager
1 2 Page 1 of 2, items 1 to 10 of 11.

Add Conference(s) to filter:

WEBIST(4)

BIOINFORMATICS(2)

CLOSER(2)

ICSOFT(1)

KMIS(1)

NCTA(1)

NEUROTECHNIX(1)

PECCS(1)

SIMULTECH(1)

SocialICT(1)

Title:
ISBN:
Year:
Acronym:
Subject:

Title:
Author:
Affiliation:
Subject:

Name:
Affiliation:
Country:
Conference:
Subject:

Name:
Country:
Subject: