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22nd International Conference on System Theory, control and Computing, ICSTCC 2018

作者： Giamberardino, Paolo Di Iacoviello, Daniela Dept. Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Rome Italy

ISBN: (纸本)9781538644447

When dealing with epidemic spread, a very common And dangerous situation is the presence of an epidemic disease and a complication, especially in an elderly population or a weakened one. In this case the complication, that alone is not, in general, a fatal disease, may become risky. The ad hoc resource allocation becomes a mandatory task, aiming at the most rationale control strategy. This is the aim of this work, in which a new model is introduced;five classes are considered: The susceptible one, the class of people that has got the immunity from the first dangerous disease (but not from the complication), the class of patients with first disease, the class of those in the risky situation of having both the diseases, and the category of individuals with only the second disease that can still caught the first serious one. control actions are introduced, as vaccination and medication, studying the effects of the different strategies. Preliminary simulation results evidenced the effectiveness of the proposed approach, allowing to determine a control strategy that reduces the number of dead, with an efficient resource allocation. © 2018 IEEE.

关键词： Resource allocation

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Optimal control to reduce the HIV/AIDS spread 22

Optimal control to reduce the HIV/AIDS spread

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22nd International Conference on System Theory, control and Computing, ICSTCC 2018

作者： Giamberardino, Paolo Di Iacoviello, Daniela Dept. Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Rome Italy

ISBN: (纸本)9781538644447

In this paper the problem of the HIV/AIDS spread reduction is addressed in the framework of optimal control theory. A model recently proposed has been adopted;it considers two classes of susceptible subjects, the wise people and the people with incautious behaviors, and three classes of infected, the ones still not aware of their status, the pre-AIDS patients and the AIDS ones. The control actions involve prevention by information campaign, to reduce the category of subjects with unwise behavior, by test campaign, to reduce the number of subjects not aware of having the virus, and medication on patients with a positive diagnosis. A cost index aiming at the reduction of patients with positive diagnosis is introduced with the conflicting requirements of using as less resources as possible. © 2018 IEEE.

关键词： Diagnosis

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State feedback optimal control with singular solution for a class of nonlinear dynamics 15

State feedback optimal control with singular solution for a ...

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15th International Conference on Informatics in control, Automation and Robotics, ICINCO 2018

作者： Giamberardino, Paolo Di Iacoviello, Daniela Dept. Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Italy Institute for Systems Analysis and Computer Science Antonio Ruberti Rome Italy

ISBN: (纸本)9789897583216

The paper studies the problem of determining the optimal control when singular arcs are present in the solution. In the general classical approach the expressions obtained depend on the state and the costate variables at the same time, so requiring a forward-backward integration for the computation of the control. In this paper, sufficient conditions on the dynamics structure are provided and discussed in order to have both the control and the switching function depending on the state only, so simplifying the computation avoiding the necessity of the backward integration. The approach has been validated on a classical SIR epidemic model. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： State feedback

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Structured learning for context-aware spoken language understanding of robotic commands 1

Structured learning for context-aware spoken language unders...

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1st Workshop on Language Grounding for Robotics, RoboNLP 2017 at the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017

作者： Vanzo, Andrea Croce, Danilo Basili, Roberto Nardi, Daniele Sapienza University of Rome Dept. of Computer Control and Management Engineering "Antonio Ruberti" Italy University of Roma Tor Vergata Dept. of Enterprise Engineering Italy

ISBN: (纸本)9781945626647

Service robots are expected to operate in specific environments, where the presence of humans plays a key role. A major feature of such robotics platforms is thus the ability to react to spoken commands. This requires the understanding of the user utterance with an accuracy able to trigger the robot reaction. Such correct interpretation of linguistic exchanges depends on physical, cognitive and language-dependent aspects related to the environment. In this work, we present the empirical evaluation of an adaptive Spoken Language Understanding chain for robotic commands, that explicitly depends on the operational environment during both the learning and recognition stages. The effectiveness of such a context-sensitive command interpretation is tested against an extension of an already existing corpus of commands, that introduced explicit perceptual knowledge: This enabled deeper measures proving that more accurate disambiguation capabilities can be actually obtained. © 2017 Proceedings of the 1st Workshop on Language Grounding for Robotics, RoboNLP 2017 at the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017. All rights reserved.

关键词： Robotics

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Properties of singular solutions in optimal control problems under input dynamic extension 63

Properties of singular solutions in optimal control problems...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Giamberardino, Paolo Di Iacoviello, Daniela Sapienza University of Rome Dept. of Computer Control and Management Engineering Antonio Ruberti via Ariosto 25 Rome00185 Italy

ISBN: (纸本)9798350316339

The paper addresses the problem of optimal control design in presence of singular solutions for single input dynamics. The dynamical extension for systems obtained adding an integrator on the input is addressed and analyzed. The possibility of computing the optimal control for dynamically extended systems from the solution of the initial ones is investigated, as well as the inverse procedure. These relationships are well evidenced for the singular solutions, showing the possibility of simplifying the optimal control computation. An example is introduced to better highlight the presented results. © 2024 IEEE.

关键词： Optimal control systems

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Visual analysis based on dominator trees with application to personalized eLearning

Visual analysis based on dominator trees with application to...

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13th International Conference on Advances in Web-Based Learning, ICWL 2014

作者： Laura, Luigi Nanni, Umberto Temperini, Marco Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Via Ariosto 25 00185 Roma Italy Sapienza Università di Roma Italy

ISBN: (纸本)9783319096346

The visualization of large graphs in interactive applications, specifically on small devices, can make harder to understand and analyze the displayed information. We show as simple topological properties of the graph can provide an efficient automatic computation of properties which improves the "readability" of a large graph by a proper selection of the displayed information. We show an approach to the visualization of a learning activity based on connectivity and related concepts as effective tools for visual analysis by learners, and by administrator of a repository. © 2014 Springer International Publishing.

关键词： Visualization

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Dynamic estimation of visco-elastic mechanical characteristics of biological samples under micro manipulation 15

Dynamic estimation of visco-elastic mechanical characteristi...

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15th International Conference on Informatics in control, Automation and Robotics, ICINCO 2018

作者： Giamberardino, Paolo Di Aceto, Maria Laura Giannini, Oliviero Verotti, Matteo Dept. Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Italy University Niccol Cusano Via Don Carlo Gnocchi 3 Rome Italy

ISBN: (纸本)9789897583216

This paper focuses on the possibility of using a recently fabricated micro gripper for the on line estimation of the mechanical characteristics (damping and elasticity) of a sample pinched by the jaws, with particular reference to biological tissues. A classical on line dynamical parameter estimator is computed for the given system with different estimation computations, and its effectiveness has been verified by numerical simulations. Results confirm the feasibility of a micro-robotic clinical device for surgery use equipped with a tissue recognition ability. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Tissue

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Research assessment: A contribution to solving the publication credit allocation problem 2

Research assessment: A contribution to solving the publicati...

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2nd Young Scientist's International Workshop on Trends in Information Processing, YSIP2 2017

作者： Schaerf, Marco Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Italy Institute of Information Technologies and Telecommunications North Caucasus Federal University Stavropol Russia

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Computing the Shapley value in allocation problems: Approximations and bounds, with an application to the Italian VQR research assessment program 23

Computing the Shapley value in allocation problems: Approxim...

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23rd RCRA International Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, RCRA 2016

作者： Lupia, Francesco Mendicelli, Angelo Ribichini, Andrea Scarcello, Francesco Schaerf, Marco Dept. of Computer Science Modeling Electronics and Systems Engineering University of Calabria Rende87036 Italy Dept. of Physics Sapienza University Rome00185 Italy Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University Rome00185 Italy

In allocation problems, a given set of goods are assigned to agents in such a way that the social welfare is maximized, that is, the largest possible global worth is achieved. When goods are indivisible, it is possible to use money compensation to perform a fair allocation taking into account the actual contribution of all agents to the social welfare. Coalitional games provide a formal mathematical framework to model such problems, in particular the Shapley value is a solution concept widely used for assigning worths to agents in a fair way. Unfortunately, computing this value is a #P-hard problem, so that applying this good theoretical notion is often quite difficult in real-world problems. In this paper, we first review the application of the Shapley value to an allocation problem that models the evaluation of the Italian research structures with a procedure known as VQR. For large universities, the problem involves thousands of agents and goods (here, researchers and their research products). We then describe some useful properties that allow us to greatly simplify many such large instances. Moreover, we propose new algorithms for computing lower bounds and upper bounds of the Shapley value, which in some cases provide the exact result and that can be combined with approximation algorithms. The proposed techniques have been tested on large real-world instances of the VQR research evaluation problem.

关键词： Approximation algorithms

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Malware triage for early identification of Advanced Persistent Threat activities

arXiv

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arXiv 2018年

作者： Laurenza, Giuseppe Lazzeretti, Riccardo Mazzotti, Luca Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome IT Italy

In the last decade, a new class of cyber-Threats has emerged. This new cybersecurity adversary is known with the name of "Advanced Persistent Threat" (APT) and is referred to different organizations that in the last years have been "in the center of the eye" due to multiple dangerous and effective attacks targeting financial and politic, news headlines, embassies, critical infrastructures, TV programs, etc. In order to early identify APT related malware, a semi-Automatic approach for malware samples analysis is needed. In our previous work we introduced a malware triage step for a semi-Automatic malware analysis architecture. This step has the duty to analyze as fast as possible new incoming samples and to immediately dispatch the ones that deserve a deeper analysis, among all the malware delivered per day in the cyberspace, the ones that really worth to be further examined by analysts. Our paper focuses on malware developed by APTs, and we build our knowledge base, used in the triage, on known APTs obtained from publicly available reports. In order to have the triage as fast as possible, we only rely on static malware features, that can be extracted with negligible delay, and use machine learning techniques for the identification. In this work we move from multiclass classification to a group of oneclass classifier, which simplify the training and allows higher modularity. The results of the proposed framework highlight high performances, reaching a precision of 100% and an accuracy over 95%. Copyright © 2018, The Authors. All rights reserved.

关键词： Knowledge based systems

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