1,721,512 research outputs found
Azioni nossali e clausola arbitraria
No full textOn the basis of I. 4.6.31 and other sources the author argues in contrast to the communis opinio that actiones noxales were already in classical Roman law actiones arbitrariae
Sulla difesa del servo assente da parte del terzo nel processo nossale classico. A proposito di D. 9.4.21.1 (Ulp. 23 ad ed.)
No full textThe paper aims to revise the traditional opinion, based on D. 9.4.21.1 (Ulp. 23 ad ed.), that in the noxal proceeding a non dominus could never defend a slave absent in iure. According to the author no technical reason justifies this opinion and D. 9.4.39.1 (Iul. 9 dig.) contradicts it. Therefore D. 9.4.21.1 should be interpreted in a differet way: a non dominus could defend a slave absent in iure by giving a positive answer to the interrogatio ‘an servus in potestate eius sit’; otherwise he would have to produce the slave in court, if in possession of him, in order to allow the claimant the ductio
Client/Server Gaming Architectures
No full textClient/server gaming architecture refers to a typical distributed architecture for the support of networked games. In this architecture, a single node plays the role of the server, i.e., it maintains the game state and communicates with all other nodes (the clients). The server notifies game moves generated by players and computes the game state updates
A co-evolutionary genetic algorithm for robust and balanced controller placement in software-defined networks
No full textThe controller placement problem (CPP) is one of the main issues that need to be addressed in the context of Software Defined Networking (SDN), especially when different aspects are being considered, such as latency, capacity, reliability, and load balancing. Most of the solutions in the literature address these aspects by considering a fixed load for each controller and attempting to equally distribute the traffic demand of the switches among the controllers, which also have a fixed common capacity. On the contrary, in this work, the CPP is studied by considering load, controller capacity, and the failure probability of controllers and links as varying over time. The CPP is formulated in terms of a robust optimization problem, which, by introducing the concept of scenario, takes into account changes in the network status due to failures, load variations, and changes in switches’ demand and controllers’ capacity. The provided solution is robust, that is, neither controllers’ re-placement nor switches’ re-assignment is required as network conditions change. Besides, a co-evolutionary algorithm is provided to solve the aforementioned optimization problem. Two populations coevolve based on the concept of complementary evolution of allied species in nature. Experimental results on a set of real-world network topologies and comparisons with the state-of-the-art have proven the superiority of the proposal, in terms of better latency, load balancing and resilience, in solving the CPP under different network status changes that might occur over time
Demolition or renovation? A controversial case in Pozzuoli
Full text linkDemolizione o ristrutturazione? La scelta può essere un compito complesso, dovendo considerare l'iniziale condizioni e prevedere il futuro Scenari. Anche se la rigenerazione degli organismi edilizi potenziale è molteplici, la tecnologia e sistema di costruzione può svolgere un ruolo decisivo la determinazione della fine del loro ciclo di vita, a causa di i costi di ristrutturazione e strutturale l'adattamento all'energia. Oltre all'economia valutazioni, politiche, storiche e sociali motivazioni sono coinvolte, o in alcuni casi sono mettere al primo posto. Pertanto, la fase finale di un la vita dell'edificio non è sempre indiscutibilmente determinabile; Esistono due scenari possibili che sono spesso delineati in una condizione di inefficienza funzionale: Demolire o Ristrutturare. Attraverso l'applicazione di due approcci, il progetto di demolizione e progetto di ristrutturazione Per stesso caso di studio a Pozzuoli, è possibile evidenziare le potenzialità, i vantaggi e le conseguenze dei due diversi modi di Azione
A novel approach for distributed simulation of wireless mobile systems
No full textThis position paper introduces the motivation and preliminary implementation issues of a distributed simulation middleware designed to increase the performance and speed-up in the distributed simulation of wireless systems characterized by mobile hosts. Topology changes due to simulated hosts' mobility map on dynamic causality effects in the "areas of influence" of each mobile device. We analyze the preliminary definition of a new dynamic mechanism for the runtime management and distributed allocation of model-components executed over a cluster of Physical Execution Units (PEUs). A migration mechanism dynamically adapts the topology changes in the wireless network to a reallocation of model components over the PEUs. The aim is the reduction of communication overheads, between the PEUs, required to distribute the event-messages between model components. The distributed simulation framework is based on HLA-compliant runtime infrastructure and preliminary, adaptive load-balancing and migration heuristics. © IFIP International Federation for Information Processing 2003
A stacked autoencoder-based convolutional and recurrent deep neural network for detecting cyberattacks in interconnected power control systems
No full textModern interconnected power grids are a critical target of many kinds of cyber-attacks, potentially affecting public safety and introducing significant economic damages. In such a scenario, more effective detection and early alerting tools are needed. This study introduces a novel anomaly detection architecture, empowered by modern machine learning techniques and specifically targeted for power control systems. It is based on stacked deep neural networks, which have proven to be capable to timely identify and classify attacks, by autonomously eliciting knowledge about them. The proposed architecture leverages automatically extracted spatial and temporal dependency relations to mine meaningful insights from data coming from the target power systems, that can be used as new features for classifying attacks. It has proven to achieve very high performance when applied to real scenarios by outperforming state-of-the-art available approaches
Discovering genomic patterns in SARS-CoV-2 variants
No full textSARS-CoV-2 is a novel severe acute respiratory syndrome-like coronavirus (SARS-CoV), which is responsible of the ongoing world pandemic of COVID-19 disease. Although many approaches are being investigated to address this issue, nowaday there are no vaccines available and there is little evidence supporting the efficiency of potential therapeutic agents. Moreover, the high mutation rate of this virus heavily affects the understanding of its evolution and diffusion mechanisms, and, in turn, the development of effective solutions. In this study, two novel algorithms are provided for finding out recurrent patterns of nucleotide subsequences of different SARS-CoV-2 genomes as a unique signature capable of identifying the most peculiar features of the pathogen. In particular, we provide several subsequence patterns related to the Spike glycoprotein, which is believed to be the main target for developing effective drugs and vaccines against the COVID-19 disease because of its role in the entrance of coronaviruses into host cells. The experimental results, obtained by analyzing 5000 genomes of SARS-CoV-2, have shown that the extracted patterns are able to recognize the Spyke protein in the 99.35% of the considered genomes. In addition, such patterns have proven to be highly discriminating with respect to other pathogenic genomes, such as SARS, Middle East respiratory syndrome, Nipah, and the streptococcus bacteria. We hope that the findings presented in this study can help specialists in speeding up the design of more accurate drugs or vaccines against SARS-CoV-2
Knowledge elicitation based on genetic programming for non destructive testing of critical aerospace systems
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