This page has only limited features, please log in for full access.
Aurelio La Corte is Associate Professor in Telecommunication Engineering at the University of Catania, Italy. He received the degree in electrical engineering in 1988, and a Ph.D. in Electronic Engineering and Computer Science in 1994. He has more than 25 years of experience in scientific and teaching activity and specific experience in designing telecommunications networks and systems and in managing complex projects. Responsible for various ICT-related activities at the University of Catania, he has been involved in coordinating, designing and developing networks and ICT services.His scientific interests include telecommunication systems and integrated services, innovative ICT services and technological innovation.
The forthcoming 6G will attempt to rewrite the communication networks’ perspective focusing on a shift in paradigm in the way technologies and services are conceived, integrated and used. In this viewpoint, the Internet of Medical Things (IoMT) represents a merger of medical devices and health applications that are connected through networks, introducing an important change in managing the disease, treatments and diagnosis, reducing costs and faults. In 6G, the edge intelligence moves the innovative abilities from the central cloud to the edge and jointly with the complex systems approach will enable the development of a new category of lightweight applications as microservices. It requires edge intelligence also for the service evaluation in order to introduce the same degree of adaptability. We propose a new evaluation model, called CoKnowEMe (context knowledge evaluation model), by introducing an architectural and analytical scheme, modeled following a complex and dynamical approach, consisting of three inter-operable level and different networked attributes, to quantify the quality of IoMT microservices depending on a changeable context of use. We conduct simulations to display and quantify the structural complex properties and performance statistical estimators. We select and classify suitable attributes through a further detailed procedure in a supplementary information document.
Grazia Aiosa; Barbara Attanasio; Aurelio La Corte; Marialisa Scatá. CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario. Future Internet 2021, 13, 177 .
AMA StyleGrazia Aiosa, Barbara Attanasio, Aurelio La Corte, Marialisa Scatá. CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario. Future Internet. 2021; 13 (7):177.
Chicago/Turabian StyleGrazia Aiosa; Barbara Attanasio; Aurelio La Corte; Marialisa Scatá. 2021. "CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario." Future Internet 13, no. 7: 177.
Complex systems are fully described by the connectedness of their elements studying how these develop a collective behavior, interacting with each other following their inner features, and the structure and dynamics of the entire system. The forthcoming 6G will attempt to rewrite the communication networks’ perspective, focusing on a radical revolution in the way entities and technologies are conceived, integrated and used. This will lead to innovative approaches with the aim of providing new directions to deal with future network challenges posed by the upcoming 6G, thus the complex systems could become an enabling set of tools and methods to design a self-organized, resilient and cognitive network, suitable for many application fields, such as digital health or smart city living scenarios. Here, we propose a complex profiling approach of heterogeneous nodes belonging to the network with the goal of including the multiplex social network as a mathematical representation that enables us to consider multiple types of interactions, the collective dynamics of diffusion and competition, through social contagion and evolutionary game theory, and the mesoscale organization in communities to drive learning and cognition. Through a framework, we detail the step by step modeling approach and show and discuss our findings, applying it to a real dataset, by demonstrating how the proposed model allows us to detect deeply complex knowable roles of nodes.
Marialisa Scatá; Barbara Attanasio; Aurelio La Corte. Cognitive Profiling of Nodes in 6G through Multiplex Social Network and Evolutionary Collective Dynamics. Future Internet 2021, 13, 135 .
AMA StyleMarialisa Scatá, Barbara Attanasio, Aurelio La Corte. Cognitive Profiling of Nodes in 6G through Multiplex Social Network and Evolutionary Collective Dynamics. Future Internet. 2021; 13 (5):135.
Chicago/Turabian StyleMarialisa Scatá; Barbara Attanasio; Aurelio La Corte. 2021. "Cognitive Profiling of Nodes in 6G through Multiplex Social Network and Evolutionary Collective Dynamics." Future Internet 13, no. 5: 135.
MEC is considered as a promising candidate to support the deployment of the 6G communication networks, enabling scalability, adaptability and resilience. We propose a modeling approach based on complex system to design a novel organizational aspect of mobile nodes acting as MECs in a 6G scenario, through the introduction of the temporal multiplex social network, which allows us to analyze proximity contacts, by embedding also the social aspects, and the evolutionary game theory. Our findings demonstrate how the proposed model gives a boost to MECs’ cooperative behavior, finding out an overall reduction of the blocking probability.
Barbara Attanasio; Aurelio La Corte; Marialisa Scatà. Evolutionary dynamics of MEC’s organization in a 6G scenario through EGT and temporal multiplex social network. ICT Express 2021, 7, 138 -142.
AMA StyleBarbara Attanasio, Aurelio La Corte, Marialisa Scatà. Evolutionary dynamics of MEC’s organization in a 6G scenario through EGT and temporal multiplex social network. ICT Express. 2021; 7 (2):138-142.
Chicago/Turabian StyleBarbara Attanasio; Aurelio La Corte; Marialisa Scatà. 2021. "Evolutionary dynamics of MEC’s organization in a 6G scenario through EGT and temporal multiplex social network." ICT Express 7, no. 2: 138-142.
COVID-19 is a new pulmonary disease which is driving stress to the hospitals due to the large number of cases worldwide. Imaging of lungs can play a key role in the monitoring of health status. Non-contrast chest computed tomography (CT) has been used for this purpose, mainly in China, with significant success. However, this approach cannot be massively used, mainly for both high risk and cost, also in some countries, this tool is not extensively available. Alternatively, chest X-ray, although less sensitive than CT-scan, can provide important information about the evolution of pulmonary involvement during the disease; this aspect is very important to verify the response of a patient to treatments. Here, we show how to improve the sensitivity of chest X-ray via a nonlinear post-processing tool, named PACE (Pipeline for Advanced Contrast Enhancement), combining properly Fast and Adaptive Bidimensional Empirical Mode Decomposition (FABEMD) and Contrast Limited Adaptive Histogram Equalization (CLAHE). The results show an enhancement of the image contrast as confirmed by three widely used metrics: (i) contrast improvement index, (ii) entropy, and (iii) measure of enhancement. This improvement gives rise to a detectability of more lung lesions as identified by two radiologists, who evaluated the images separately, and confirmed by CT-scans. The results show this method is a flexible and an effective approach for medical image enhancement and can be used as a post-processing tool for medical image understanding and analysis.
Giulio Siracusano; Aurelio La Corte; Michele Gaeta; Giuseppe Cicero; Massimo Chiappini; Giovanni Finocchio. Pipeline for Advanced Contrast Enhancement (PACE) of Chest X-Ray in Evaluating COVID-19 Patients by Combining Bidimensional Empirical Mode Decomposition and Contrast Limited Adaptive Histogram Equalization (CLAHE). Sustainability 2020, 12, 8573 .
AMA StyleGiulio Siracusano, Aurelio La Corte, Michele Gaeta, Giuseppe Cicero, Massimo Chiappini, Giovanni Finocchio. Pipeline for Advanced Contrast Enhancement (PACE) of Chest X-Ray in Evaluating COVID-19 Patients by Combining Bidimensional Empirical Mode Decomposition and Contrast Limited Adaptive Histogram Equalization (CLAHE). Sustainability. 2020; 12 (20):8573.
Chicago/Turabian StyleGiulio Siracusano; Aurelio La Corte; Michele Gaeta; Giuseppe Cicero; Massimo Chiappini; Giovanni Finocchio. 2020. "Pipeline for Advanced Contrast Enhancement (PACE) of Chest X-Ray in Evaluating COVID-19 Patients by Combining Bidimensional Empirical Mode Decomposition and Contrast Limited Adaptive Histogram Equalization (CLAHE)." Sustainability 12, no. 20: 8573.
5G network technology is growing fast, thus the number of devices and the traffic are likely to pose impressive challenges. A new paradigm called “Internet-of-People” (IoP) represents a valid approach to include the social aspect. Following an IoP perspective, we believe that the knowledge of social multiplex interactions and dynamics could drive more sustainable growth. By merging this with the Device-to-Device communication (D2D), we originate a new paradigm presented in this work. We propose a novel bio-inspired approach for quantifying the impact of the social multiplex structure on D2D contents’ dissemination. Through rigorous mathematical modelling, we have shaped the D2D data dissemination process as a social contagion dynamics of two co-evolving spreading processes. We weigh the dynamic interactions by including the concepts of homophily and awareness. We have measured the effect of homophily, awareness and network heterogeneity on information diffusion. The bio-inspired mechanism is evaluated through a rigorous mathematical and algorithm analysis, and a meaningful simulation. We show that this mechanism is effective in tuning network awareness and alertness, breaking the “echo chambers” effect. Through our model, we have defined and proposed the guidelines to discriminate the nature of the contents based on contents’ dissemination.
Marialisa Scata; Alessandro Di Stefano; Aurelio La Corte; Pietro Lio. A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination. IEEE Transactions on Cognitive Communications and Networking 2020, 7, 581 -593.
AMA StyleMarialisa Scata, Alessandro Di Stefano, Aurelio La Corte, Pietro Lio. A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination. IEEE Transactions on Cognitive Communications and Networking. 2020; 7 (2):581-593.
Chicago/Turabian StyleMarialisa Scata; Alessandro Di Stefano; Aurelio La Corte; Pietro Lio. 2020. "A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination." IEEE Transactions on Cognitive Communications and Networking 7, no. 2: 581-593.
BackgroundCT is a very sensitive technique to detect pneumonia in COVID-19 patients. However, it is impaired by high costs, logistic issues and high risk of exposure.Chest x-ray (CXR) is a low-cost, low-risk, not time consuming technique and is emerging as the recommended imaging modality to use in COVID-19 pandemic.This technique, although less sensitive than CT-scan, can provide useful information about pulmonary involvement.PurposeTo describe chest x-ray features of COVID-19 pneumonia and to evaluate the sensitivity of this technique in detecting pneumonia. A further scope is to assess the effectiveness of a post-processing algorithm in improving lung lesions detectability.Materials and Methods72 patients with laboratory-confirmed COVID-19 underwent bedside chest X-ray.Two radiologists were asked to express their opinion about: (i) presence of pneumonia (negative or positive); (ii) localization (unilateral or bilateral); (iii) topography (according to pulmonary fields); (iv) density (non consolidative ground-glass or inhomogeneous opacities; consolidative nodular-type or triangular; mixed consolidative e non-consolidative); and (v) presence of pleural effusion. The point (i) was evaluated separately, while the other points in consensus.A quality assessment of post-processed x-ray images was performed by two different readers.ResultsThe agreement about presence of pneumonia was almost perfect with K value of 0.933 and p < 0.001.Sensitivity was 69%.The following findings were seen: unilateral lung involvement in 50%; lower lung lesions in 54%; peripheral distribution in 48%; and non-consolidative pattern in 44%.Post-processed images improved the detection of lesions in 7 out 72 patients (≅10%)ConclusionCXR owns a good sensitivity in detecting COVID-19 lung involvement. Use of post-processing algorithm can improve detection of lesions. Our data support recommendations of the Radiological Society of North America (RSNA) to consider chest x-ray as first step imaging examination in Covid-19 patients.SUMMARYBedside CXR has a good sensitivity in evaluating COVID-19 lung involvement in hospitalized patients and should be considered as the first step imaging technique according to RSNA recommendations.KEY RESULTSBedside CXR has a good sensitivity in evaluating COVID-19 lung involvement in non-early clinical cases.The most common findings of lung involvement were slight different from the well-described CT-ones, with less common patterns of bilateral and peripheral distribution.Post-processing algorithm enhances detection of pulmonary lesions.
Michele Gaeta; Giuseppe Cicero; Maria Adele Marino; Tommaso D’Angelo; Enrico Maria Mormina; Silvio Mazziotti; Alfredo Blandino; Giulio Siracusano; Aurelio La Corte; Massimo Chiappini; Giovanni Finocchio. EFFECTIVENESS OF BASELINE AND POST-PROCESSED CHEST X-RAY IN NONEARLY COVID-19 PATIENTS. 2020, 1 .
AMA StyleMichele Gaeta, Giuseppe Cicero, Maria Adele Marino, Tommaso D’Angelo, Enrico Maria Mormina, Silvio Mazziotti, Alfredo Blandino, Giulio Siracusano, Aurelio La Corte, Massimo Chiappini, Giovanni Finocchio. EFFECTIVENESS OF BASELINE AND POST-PROCESSED CHEST X-RAY IN NONEARLY COVID-19 PATIENTS. . 2020; ():1.
Chicago/Turabian StyleMichele Gaeta; Giuseppe Cicero; Maria Adele Marino; Tommaso D’Angelo; Enrico Maria Mormina; Silvio Mazziotti; Alfredo Blandino; Giulio Siracusano; Aurelio La Corte; Massimo Chiappini; Giovanni Finocchio. 2020. "EFFECTIVENESS OF BASELINE AND POST-PROCESSED CHEST X-RAY IN NONEARLY COVID-19 PATIENTS." , no. : 1.
Gut microbiota and human relationships are strictly connected to each other. What we eat reflects our body-mind connection and synchronizes with people around us. However, how this impacts on gut microbiota and, conversely, how gut bacteria influence our dietary behaviors has not been explored yet. To quantify the complex dynamics of this interplay between gut and human behaviors we explore the “gut-human behavior axis” and its evolutionary dynamics in a real-world scenario represented by the social multiplex network. We consider a dual type of similarity, homophily and gut similarity, other than psychological and unconscious biases. We analyze the dynamics of social and gut microbial communities, quantifying the impact of human behaviors on diets and gut microbial composition and, backwards, through a control mechanism. Meal timing mechanisms and “chrono-nutrition” play a crucial role in feeding behaviors, along with the quality and quantity of food intake. Considering a population of shift workers, we explore the dynamic interplay between their eating behaviors and gut microbiota, modeling the social dynamics of chrono-nutrition in a multiplex network. Our findings allow us to quantify the relation between human behaviors and gut microbiota through the methodological introduction of gut metabolic modeling and statistical estimators, able to capture their dynamic interplay. Moreover, we find that the timing of gut microbial communities is slower than social interactions and shift-working, and the impact of shift-working on the dynamics of chrono-nutrition is a fluctuation of strategies with a major propensity for defection (e.g. high-fat meals). A deeper understanding of the relation between gut microbiota and the dietary behavioral patterns, by embedding also the related social aspects, allows improving the overall knowledge about metabolic models and their implications for human health, opening the possibility to design promising social therapeutic dietary interventions. Human gut microbiota is able to influence different aspects of physiology, such as human behaviors. Our close social connections, in turn, impact on eating behaviors and diets, which play a key role in driving the gut microbial composition and its metabolic processes. To quantify the dynamic interplay between gut microbiota and human behaviors in a social multiplex network, we investigate the “gut-human behavior axis”. We propose statistical estimators able to quantify the relation between human behaviors and gut microbiota in a social multiplex network. Furthermore, considering a population of shift workers, we explore the dynamic interplay between their eating behaviors and their gut microbiota, quantifying the social dynamics of chrono-nutrition in a multiplex network. Our findings, coherently with what one can expect in the case of shift-working, demonstrate how the timing of gut microbial communities is slower than social interactions and shift-working. Thus, the impact of shift-working on chrono-nutrition is a fluctuation of behaviors, with a major propensity for poor food choices or high-fat meals. Acquiring a deeper knowledge about the metabolic models of gut microbiota and quantifying the complex interplay of social and gut microbial communities pave the way to targeted social therapeutic interventions.
Alessandro Di Stefano; Marialisa Scatà; Supreeta Vijayakumar; Claudio Angione; Aurelio La Corte; Pietro Liò. Social dynamics modeling of chrono-nutrition. PLoS Computational Biology 2019, 15, e1006714 .
AMA StyleAlessandro Di Stefano, Marialisa Scatà, Supreeta Vijayakumar, Claudio Angione, Aurelio La Corte, Pietro Liò. Social dynamics modeling of chrono-nutrition. PLoS Computational Biology. 2019; 15 (1):e1006714.
Chicago/Turabian StyleAlessandro Di Stefano; Marialisa Scatà; Supreeta Vijayakumar; Claudio Angione; Aurelio La Corte; Pietro Liò. 2019. "Social dynamics modeling of chrono-nutrition." PLoS Computational Biology 15, no. 1: e1006714.
Investigation of the feasibility of the R2(⁎) mapping techniques by using latest theoretical models corrected for confounding factors and optimized for signal to noise ratio.
Giulio Siracusano; Aurelio La Corte; Carmelo Milazzo; Giuseppe Pio Anastasi; Giovanni Finocchio; Michele Gaeta. On the R 2 ⁎ relaxometry in complex multi-peak multi-Echo chemical shift-based water-fat quantification: Applications to the neuromuscular diseases. Magnetic Resonance Imaging 2017, 35, 4 -14.
AMA StyleGiulio Siracusano, Aurelio La Corte, Carmelo Milazzo, Giuseppe Pio Anastasi, Giovanni Finocchio, Michele Gaeta. On the R 2 ⁎ relaxometry in complex multi-peak multi-Echo chemical shift-based water-fat quantification: Applications to the neuromuscular diseases. Magnetic Resonance Imaging. 2017; 35 ():4-14.
Chicago/Turabian StyleGiulio Siracusano; Aurelio La Corte; Carmelo Milazzo; Giuseppe Pio Anastasi; Giovanni Finocchio; Michele Gaeta. 2017. "On the R 2 ⁎ relaxometry in complex multi-peak multi-Echo chemical shift-based water-fat quantification: Applications to the neuromuscular diseases." Magnetic Resonance Imaging 35, no. : 4-14.
In the real world, dynamic processes involving human beings are not disjoint. To capture the real complexity of such dynamics, we propose a novel model of the coevolution of epidemic and awareness spreading processes on a multiplex network, also introducing a preventive isolation strategy. Our aim is to evaluate and quantify the joint impact of heterogeneity and awareness, under different socioeconomic conditions. Considering, as case study, an emerging public health threat, Zika virus, we introduce a data-driven analysis by exploiting multiple sources and different types of data, ranging from Big Five personality traits to Google Trends, related to different world countries where there is an ongoing epidemic outbreak. Our findings demonstrate how the proposed model allows delaying the epidemic outbreak and increasing the resilience of nodes, especially under critical economic conditions. Simulation results, using data-driven approach on Zika virus, which has a growing scientific research interest, are coherent with the proposed analytic model.
Marialisa Scatà; Alessandro DI Stefano; Pietro Lio; Aurelio LaCorte. The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks. Scientific Reports 2016, 6, 37105 .
AMA StyleMarialisa Scatà, Alessandro DI Stefano, Pietro Lio, Aurelio LaCorte. The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks. Scientific Reports. 2016; 6 (1):37105.
Chicago/Turabian StyleMarialisa Scatà; Alessandro DI Stefano; Pietro Lio; Aurelio LaCorte. 2016. "The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks." Scientific Reports 6, no. 1: 37105.
Marialisa Scatà; Alessandro Di Stefano; Aurelio La Corte; Pietro Lio; Emanuele Catania; Ermanno Guardo; Salvatore Pagano. Combining evolutionary game theory and network theory to analyze human cooperation patterns. Chaos, Solitons & Fractals 2016, 91, 17 -24.
AMA StyleMarialisa Scatà, Alessandro Di Stefano, Aurelio La Corte, Pietro Lio, Emanuele Catania, Ermanno Guardo, Salvatore Pagano. Combining evolutionary game theory and network theory to analyze human cooperation patterns. Chaos, Solitons & Fractals. 2016; 91 ():17-24.
Chicago/Turabian StyleMarialisa Scatà; Alessandro Di Stefano; Aurelio La Corte; Pietro Lio; Emanuele Catania; Ermanno Guardo; Salvatore Pagano. 2016. "Combining evolutionary game theory and network theory to analyze human cooperation patterns." Chaos, Solitons & Fractals 91, no. : 17-24.
The addition of telecontrolled and automated sectionalizers along the distribution network has permitted to speed up fault location procedures to reduce the restoration time. Nowadays, some utility are installing circuit breakers (CBs) along the network to reduce the average number of customers’ outages too, but the use of time selectivity strongly limits the number of CBs installed in topological sequence. In Smart Grid perspective, a protection system upgrade towards telecontrolled CBs allowing to overcome this limitation is expected, and, more in general, a transition towards a cyber-physical system (CPS) implementing protection schemes based on telecontrolled switches only. Moreover, Smart Grids should allow to exploit the potential benefit deriving from autonomous microgrids in terms of service continuity. This work presents an analytical formulation to assess the impact of CPS vulnerability and centralized telecontrol system availability on system reliability in networks where islanding is permitted by regulation. The formulation is applied to a realistic case study. The results have shown that islanding effectively reduces the outage duration even when the CPS is very vulnerable. On the other hand, islanding is able to strongly reduce the outage rate too when the CPS security level is high.
S. Conti; A. La Corte; R. Nicolosi; S.A. Rizzo. Impact of cyber-physical system vulnerability, telecontrol system availability and islanding on distribution network reliability. Sustainable Energy, Grids and Networks 2016, 6, 143 -151.
AMA StyleS. Conti, A. La Corte, R. Nicolosi, S.A. Rizzo. Impact of cyber-physical system vulnerability, telecontrol system availability and islanding on distribution network reliability. Sustainable Energy, Grids and Networks. 2016; 6 ():143-151.
Chicago/Turabian StyleS. Conti; A. La Corte; R. Nicolosi; S.A. Rizzo. 2016. "Impact of cyber-physical system vulnerability, telecontrol system availability and islanding on distribution network reliability." Sustainable Energy, Grids and Networks 6, no. : 143-151.
To improve electrical distribution network reliability, some portions of the network could operate in autonomous mode, provided that the related technical issues are addressed. More specifically, when there is not a path from those portions to the primary substation due to a fault in the network, such portions could be disconnected from the main network and supplied by local generation only. Such a mode of operation is known as “intentional islanding” and its effectiveness, in terms of adequacy, depends on the ability of the local generation to meet the island’s load. In fact, the ratio between the available local generation and load demand can frequently change during islanding due to load variations and, especially, due to the strongly irregular behavior of the primary energy sources of renewable generators. This paper proposes an analytical formulation to assess local generation adequacy during intentional islanding, accounting for the aforementioned variations. More specifically, the fluctuations of load and green-energy generators during islanding are modeled by means of Markov chains, whose output quantities are encompassed in the proposed analytical formulation. Such a formulation is used by the analytical equations of load points’ outage rate and duration. The evaluation of the reliability indices accounts for a protection scheme based on an appropriate communication infrastructure. Therefore, a brief overview on the telecommunications technologies has been presented with reference to their suitability for the specific application. In particular, distribution network safety issues have been considered as the main concern. The results show that neglecting load and generation fluctuations leads to a strong overestimation of the ability of distributed generators to meet the island load. Through a case study it is observed that the error on the load point outage rate is greater than the one affecting the outage duration.
Stefania Conti; Giuseppe Faraci; Aurelio La Corte; Rosario Nicolosi; Santi Agatino Rizzo; Giovanni Schembra. Effect of Islanding and Telecontrolled Switches on Distribution System Reliability Considering Load and Green-Energy Fluctuations. Applied Sciences 2016, 6, 138 .
AMA StyleStefania Conti, Giuseppe Faraci, Aurelio La Corte, Rosario Nicolosi, Santi Agatino Rizzo, Giovanni Schembra. Effect of Islanding and Telecontrolled Switches on Distribution System Reliability Considering Load and Green-Energy Fluctuations. Applied Sciences. 2016; 6 (5):138.
Chicago/Turabian StyleStefania Conti; Giuseppe Faraci; Aurelio La Corte; Rosario Nicolosi; Santi Agatino Rizzo; Giovanni Schembra. 2016. "Effect of Islanding and Telecontrolled Switches on Distribution System Reliability Considering Load and Green-Energy Fluctuations." Applied Sciences 6, no. 5: 138.
Evelina Giacchi; Aurelio La Corte; Eleonora Di Pietro. A Dynamic and Context-aware Model of Knowledge Transfer and Learning using a Decision Making Perspective. Proceedings of the 1st International Conference on Complex Information Systems 2016, 1 .
AMA StyleEvelina Giacchi, Aurelio La Corte, Eleonora Di Pietro. A Dynamic and Context-aware Model of Knowledge Transfer and Learning using a Decision Making Perspective. Proceedings of the 1st International Conference on Complex Information Systems. 2016; ():1.
Chicago/Turabian StyleEvelina Giacchi; Aurelio La Corte; Eleonora Di Pietro. 2016. "A Dynamic and Context-aware Model of Knowledge Transfer and Learning using a Decision Making Perspective." Proceedings of the 1st International Conference on Complex Information Systems , no. : 1.
This paper micromagnetically studies the magnetization dynamics driven by the spin-Hall effect in a Platinum/Permalloy bi-layer. For a certain field and current range, the excitation of a uniform mode, characterized by a power with a spatial distribution in the whole ferromagnetic cross section, is observed. We suggest to use the ferromagnet of the bi-layer as basis for the realization of an array of spin-torque oscillators (STOs): the Permalloyferromagnet will act as shared free layer, whereas the spacers and the polarizers are built on top of it. Following this strategy, the frequency of the uniform mode will be the same for the whole device, creating an intrinsic synchronization. The synchronization of an array of parallely connected STOs will allow to increase the output power, as necessary for technological applications.
Giulio Siracusano; Riccardo Tomasello; V. Puliafito; Anna Giordano; Bruno Azzerboni; Aurelio La Corte; M. Carpentieri; Giovanni Finocchio. Intrinsic synchronization of an array of spin-torque oscillators driven by the spin-Hall effect. Journal of Applied Physics 2015, 117, 17E504 .
AMA StyleGiulio Siracusano, Riccardo Tomasello, V. Puliafito, Anna Giordano, Bruno Azzerboni, Aurelio La Corte, M. Carpentieri, Giovanni Finocchio. Intrinsic synchronization of an array of spin-torque oscillators driven by the spin-Hall effect. Journal of Applied Physics. 2015; 117 (17):17E504.
Chicago/Turabian StyleGiulio Siracusano; Riccardo Tomasello; V. Puliafito; Anna Giordano; Bruno Azzerboni; Aurelio La Corte; M. Carpentieri; Giovanni Finocchio. 2015. "Intrinsic synchronization of an array of spin-torque oscillators driven by the spin-Hall effect." Journal of Applied Physics 117, no. 17: 17E504.
Giulio Siracusano; Aurelio La Corte; Vito Puliafito; Giovanni Finocchio. A generalized tool for accurate time-domain separation of excited modes in spin-torque oscillators. Journal of Applied Physics 2014, 115, 17 .
AMA StyleGiulio Siracusano, Aurelio La Corte, Vito Puliafito, Giovanni Finocchio. A generalized tool for accurate time-domain separation of excited modes in spin-torque oscillators. Journal of Applied Physics. 2014; 115 (17):17.
Chicago/Turabian StyleGiulio Siracusano; Aurelio La Corte; Vito Puliafito; Giovanni Finocchio. 2014. "A generalized tool for accurate time-domain separation of excited modes in spin-torque oscillators." Journal of Applied Physics 115, no. 17: 17.
Marialisa Scatà; Alessandro Di Stefano; Evelina Giacchi; Aurelio La Corte; Pietro Liò. The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network. Proceedings of the 10th International Conference on Security and Cryptography 2014, 41 -46.
AMA StyleMarialisa Scatà, Alessandro Di Stefano, Evelina Giacchi, Aurelio La Corte, Pietro Liò. The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network. Proceedings of the 10th International Conference on Security and Cryptography. 2014; ():41-46.
Chicago/Turabian StyleMarialisa Scatà; Alessandro Di Stefano; Evelina Giacchi; Aurelio La Corte; Pietro Liò. 2014. "The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network." Proceedings of the 10th International Conference on Security and Cryptography , no. : 41-46.
Alessandro Di Stefano; Aurelio LaCorte; Marco Leotta; Pietro Lió; Marialisa Scatá. It measures like me: An IoTs algorithm in WSNs based on heuristics behavior and clustering methods. Ad Hoc Networks 2013, 11, 2637 -2647.
AMA StyleAlessandro Di Stefano, Aurelio LaCorte, Marco Leotta, Pietro Lió, Marialisa Scatá. It measures like me: An IoTs algorithm in WSNs based on heuristics behavior and clustering methods. Ad Hoc Networks. 2013; 11 (8):2637-2647.
Chicago/Turabian StyleAlessandro Di Stefano; Aurelio LaCorte; Marco Leotta; Pietro Lió; Marialisa Scatá. 2013. "It measures like me: An IoTs algorithm in WSNs based on heuristics behavior and clustering methods." Ad Hoc Networks 11, no. 8: 2637-2647.
One of the main targets related to Wireless Sensor Networks (WSNs) is to reduce power consumption of nodes and of the whole network. An ideal WSN should be networked, scalable, fault-tolerant, energy-aware, and also smart and efficient. Unfortunately, however, this is not always true. The basic idea of the proposal is that senders use a heuristic approach to select the sub-optimal next hop in order to reach just one sink, considering some key requirements such as general performance (QoS and security), efficiency, trust ability, high computational power and energy-aware behaviour. Our model tries to satisfy the need for reaching the nearest sink node, considering a trade-off between the shortest path and heuristic decisions, in a top-level strategy based on a heuristic approach in order to reduce the overall power consumption of nodes of the network.
Aurelio La Corte; Alessandro Di Stefano; Marialisa Scatá; Marco Leotta. A Energy-Preserving Model for Wireless Sensors Networks Based on Heuristic Self-Organized Routing. 2013 IEEE International Conference on Systems, Man, and Cybernetics 2013, 3198 -3202.
AMA StyleAurelio La Corte, Alessandro Di Stefano, Marialisa Scatá, Marco Leotta. A Energy-Preserving Model for Wireless Sensors Networks Based on Heuristic Self-Organized Routing. 2013 IEEE International Conference on Systems, Man, and Cybernetics. 2013; ():3198-3202.
Chicago/Turabian StyleAurelio La Corte; Alessandro Di Stefano; Marialisa Scatá; Marco Leotta. 2013. "A Energy-Preserving Model for Wireless Sensors Networks Based on Heuristic Self-Organized Routing." 2013 IEEE International Conference on Systems, Man, and Cybernetics , no. : 3198-3202.
In recent years, information and communication technology (ICT) has been characterised by several evolving trends and new challanges. The design and management of each information system must address issues related to planning an ICT infrastructure. Communication technologies are evolving very fast, following the current trend of the time when everything is becoming digitized and the demand for new ubiquitous services is growing. This process has enabled the advent of the Next Generation Network (NGN). With the development of the Next Generation Network, considering the proposed infrastructure, speed, services and amount of connections will increase exponentially. At the same time vulnerability, threats, risk and quality of service (QoS), should be adequately assessed for the continuous evolution of the converged network, which will define roles and relationship in the future information and communication environment. In this paper we propose an overview of the Next Generation network addressing the new challenges of the converged infrastructure and we propose a framework to assess quality of service and security features, giving an appropriate analysis method regarding certain parameters and requirements.
Aurelio LaCorte; Marialisa Scatà. Security and QoS analysis for Next Generation Networks. International Conference on Information Society (i-Society 2011) 2011, 248 -253.
AMA StyleAurelio LaCorte, Marialisa Scatà. Security and QoS analysis for Next Generation Networks. International Conference on Information Society (i-Society 2011). 2011; ():248-253.
Chicago/Turabian StyleAurelio LaCorte; Marialisa Scatà. 2011. "Security and QoS analysis for Next Generation Networks." International Conference on Information Society (i-Society 2011) , no. : 248-253.
In recent years, information and communication technology (ICT) has been characterised by several evolving trends and new challenges. The process towards the convergence has been developed to take into account new realities and new perspectives. Along with many positive benefits, there are several security concerns and ensuring privacy is extremely difficult. New security issues make it necessary to rewrite the safety requirements and to know what the risks are and what can be lost. With this paper we want to propose a bio-inspired approach as a result of a comparison between biological models and information security. The risk analysis proposed aims to address technical, human and economical aspects of the security to strategically guide security investments. This analysis requires knowledge of the failure time distribution to assess the degree of system security and analyse the existing countermeasures to decrease the risk, minimise the losses, and successfully manage the security.
Aurelio La Corte; Marialisa Scatá; Evelina Giacchi. A Bio-Inspired Approach for Risk Analysis of ICT Systems. Transactions on Petri Nets and Other Models of Concurrency XV 2011, 6782, 652 -666.
AMA StyleAurelio La Corte, Marialisa Scatá, Evelina Giacchi. A Bio-Inspired Approach for Risk Analysis of ICT Systems. Transactions on Petri Nets and Other Models of Concurrency XV. 2011; 6782 ():652-666.
Chicago/Turabian StyleAurelio La Corte; Marialisa Scatá; Evelina Giacchi. 2011. "A Bio-Inspired Approach for Risk Analysis of ICT Systems." Transactions on Petri Nets and Other Models of Concurrency XV 6782, no. : 652-666.