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arXiv 2018年

作者： Schlegel, Dominik Grisetti, Giorgio Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

Reliable and efficient Visual Place Recognition is a major building block of modern SLAM systems. Leveraging on our prior work, in this paper we present a Hamming Distance embedding Binary Search Tree (HBST) approach for binary Descriptor Matching and Image Retrieval. HBST allows for descriptor Search and Insertion in logarithmic time by exploiting particular properties of binary Feature descriptors. We support the idea behind our search structure with a thorough analysis on the exploited descriptor properties and their effects on completeness and complexity of search and insertion. To validate our claims we conducted comparative experiments for HBST and several state-of-the-art methods on a broad range of publicly available datasets. HBST is available as a compact open-source C++ header-only library. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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Asymmetric Protocols for Scalable High-Rate Measurement-Device-Independent Quantum Key Distribution Networks

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Physical Review X 2019年第4期9卷 041012-041012页

作者： Wenyuan Wang Feihu Xu Hoi-Kwong Lo Centre for Quantum Information and Quantum Control (CQIQC) Dept. of Electrical & Computer Engineering and Department of Physics University of Toronto Toronto Ontario M5S 3G4 Canada Shanghai Branch National Laboratory for Physical Sciences at Microscale University of Science and Technology of China Shanghai 201315 China

Measurement-device-independent quantum key distribution (MDI-QKD) can eliminate detector side channels and prevent all attacks on detectors. The future of MDI-QKD is a quantum network that provides service to many users over untrusted relay nodes. In a real quantum network, the losses of various channels are different and users are added and deleted over time. To adapt to these features, we propose a type of protocol that allows users to independently choose their optimal intensity settings to compensate for different channel losses. Such a protocol enables a scalable high-rate MDI-QKD network that can easily be applied for channels of different losses and allows users to be dynamically added or deleted at any time without affecting the performance of existing users.

关键词： Quantum communication Quantum cryptography Quantum networks

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Patient-Clinician Brain Response During Clinical Encounter and Pain Treatment

Patient-Clinician Brain Response During Clinical Encounter a...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Anzolin K. Isenburg A. Grahl J. Toppi M. Yücel D.M. Ellingsen J. Gerber A. Ciaramidaro L. Astolfi T.J. Kaptchuk V. Napadow Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital and Harvard Medical School Boston MA USA Dept. of Computer Control and Management Engineering "Sapienza" University of Rome Italy Boston University Neurophotonics Center Department of Education and Human Sciences University of Modena and Reggio Emilia Modena Italy Program in Placebo Studies Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA Department of Anesthesiology Brigham and Women’s Hospital

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

The patient-clinician relationship is known to significantly affect the pain experience, as empathy, mutual trust and therapeutic alliance can significantly modulate pain perception and influence clinical therapy outcomes. The aim of the present study was to use an EEG hyperscanning setup to identify brain and behavioral mechanisms supporting the patient-clinician relationship while this clinical dyad is engaged in a therapeutic interaction. Our previous study applied fMRI hyperscanning to investigate whether brain concordance is linked with analgesia experienced by a patient while undergoing treatment by the clinician. In this current hyperscanning project we investigated similar outcomes for the patient-clinician dyad exploiting the high temporal resolution of EEG and the possibility to acquire the signals while patients and clinicians were present in the same room and engaged in a face-to-face interaction under an experimentally-controlled therapeutic context. Advanced source localization methods allowed for integration of spatial and spectral information in order to assess brain correlates of therapeutic alliance and pain perception in different clinical interaction contexts. Preliminary results showed that both behavioral and brain responses across the patient-clinician dyad were significantly affected by the interaction *** Relevance- The context of a clinical intervention can significantly impact the treatment of chronic pain. Effective therapeutic alliance, based on empathy, mutual trust, and warmth can improve treatment adherence and clinical outcomes. A deeper scientific understanding of the brain and behavioral mechanisms underlying an optimal patient-clinician interaction may lead to improved quality of clinical care and physician training, as well as better understanding of the social aspects of the biopsychosocial model mediating analgesia in chronic pain patients.

关键词： Pain Electroencephalography Biomedical imaging Hospitals Spatial resolution

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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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On the combined effect of design-space dimensionality reduction and optimization methods on shape optimization efficiency 19th

On the combined effect of design-space dimensionality reduct...

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19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2018

作者： d'Agostino, Danny Serani, Andrea Diez, Matteo Dept. of Computer Control and Management Engineering "A. Ruberti" Sapienza University of Rome Via Ariosto 25 Rome00185 Italy CNR-INM National Research Council-Institute of Marine Engineering Via di Vallerano 139 Rome00128 Italy

ISBN: (数字)9781624105500

ISBN: (纸本)9781624105500

The curse of dimensionality represents a relevant issue in simulation-based shape optimization, especially when complex physics and high-fidelity computationally-expensive solvers are involved in the process and a global optimum is sought after. In order to have a deeper insight into this problem and indicate possible remedies, the present paper studies the effects of both design-space dimensionality reduction (DR) and optimization methods on the shape optimization efficiency. Linear and non-linear DR methods are used for the design-space DR, based on principal component analysis and deep autoencoders. Global and hybrid global/local deterministic derivative-free optimization algorithms (Deterministic Particle Swarm Optimization, DIviding RECTangles, Dolphin Pod Optimization, LSDFPSO, and DIRMIN-2) are applied to the original and the reduced-dimensionality design-spaces, investigating their efficiency and effectiveness. Example application is shown for the shape optimization of a destroyer-type vessel sailing in calm water at fixed speed. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Shape optimization

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Solving Lur'e equations through zeroing neural networks

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Information Sciences 2025年 718卷

作者： Yu He Xiaojuan Wang Yafei Tie Huanqi Yang Theodore E. Simos Spyridon D. Mourtas Vasilios N. Katsikis School of Computer Science and Artificial Intelligence Huanghuai University Zhumadian 463000 China Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots Henan 463000 China Henan Key Laboratory of Smart Lighting Zhumadian 46300 China Hangzhou Dianzi University School of Mechanical Engineering Er Hao Da Jie 1158 Xiasha Hangzhou 310018 China Center for Applied Mathematics and Bioinformatics Gulf University for Science and Technology West Mishref 32093 Kuwait Section of Mathematics Dept. of Civil Engineering Democritus Univ. of Thrace Xanthi 67100 Greece Department of Economics Division of Mathematics-Informatics and Statistics-Econometrics National and Kapodistrian University of Athens Sofokleous 1 Street 10559 Athens Greece Laboratory “Hybrid Methods of Modelling and Optimization in Complex Systems” Siberian Federal University Prosp. Svobodny 79 660041 Krasnoyarsk Russia

Solving Lur'e equations plays a critical role in addressing linear-quadratic optimal control (LQOC) problems, especially in cases where the control cost matrices are singular. This paper introduces, for the first time, two novel zeroing neural network (ZNN) models—ZNNLE and ZNNLE-LQOC—specifically designed to solve the Lur'e equation system and the LQOC problem, respectively. The proposed models extend the applicability of the ZNN methodology to these challenging scenarios by offering robust and efficient solutions to time-varying matrix equations. Theoretical analyses confirm the validity of both models, while numerical simulations and practical applications demonstrate their effectiveness. Moreover, a comparative study with an enhanced alternating-direction implicit (ADI) method highlights the superior performance of the ZNNLE-LQOC model in solving LQOC problems.

关键词： Dynamic system Linear-quadratic optimal control Lur'e equations Singular optimal control Zeroing neural network

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Modeling and control of an epidemic disease under possible complication

Modeling and control of an epidemic disease under possible c...

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International Conference on System Theory, control, and Computing (ICSTCC)

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

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.

关键词： Diseases Pathology Sociology Statistics Mathematical model Immune system Optimal control

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Optimal control to reduce the HIV/AIDS spread

Optimal Control to reduce the HIV/AIDS spread

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International Conference on System Theory, control, and Computing (ICSTCC)

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

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.

关键词： Optimal control Medical diagnostic imaging Viruses (medical) Human immunodeficiency virus Immune system

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Fast bird direction-of-arrival estimation using an isotopic array of microphones 26

Fast bird direction-of-arrival estimation using an isotopic ...

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26th International Congress on Sound and Vibration, ICSV 2019

作者： Hudon, R.E. Yao, K. Taylor, C.E. Yu, K. Hedley, R.W. Electrical and Computer Engineering Dept UCLA Los AngelesCA United States Department of Ecology and Evolutionary Biology UCLA Los AngelesCA United States Dept. of Control Science and Engineering Zhejiang University Hanzhou China Erin Bayne Laboratory University of Alberta EdmontonAB Canada

ISBN: (纸本)9781999181000

Various wide-band multiple source detection and direction-of-arrival (DOA) estimation using array methods have been proposed. For multiple wide-band 2D source DOA estimation, an Approximate Maximum-Likelihood (AML) method was proposed with later extension to 3D applications. AML is an iterative method that is computationally demanding, so must typically be performed off-line. Now we propose a new, analytic, method to separate and localize overlapping sources that is much faster and less computationally demanding. We used the k-th subband of the cross-covariance matrix Ck of H-frame of a contiguous array of N sensors data to perform an eigen-decomposition [Vk, Dk ] = eig(Ck ) . The ratios of the larger eigenvalues in Dk relative to the smallest eigenvalue provide a possible detection criterion for various sources and the corresponding eigenvectors can be used to estimate the DOA's of multiple sources. The phase differences among the sensors are used to analytically obtain the DOA without needing any optimization operations. Simulations of field measured array data are used to confirm the proposed scheme © Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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On the in-field test of embedded memories 23

On the in-field test of embedded memories

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23rd IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2017

作者： Bernardi, P. Restifo, M. Sanchez, E. Reorda, M. Sonza Politecnico di Torino Dept. of Control and Computer Engineering Italy

ISBN: (纸本)9781538603512

In-field test of electronic devices is becoming increasingly important due to the wide adoption of electronic systems in safety-critical applications. Hence, it is crucial to devise and deploy effective solutions supporting the test during the operational phase of all the components of an electronic system, including the memory modules embedded in a SoC. Some key aspects include the possible reuse of HW infrastructures introduced for end-of-manufacturing test, the need for limited intrusiveness with respect to the application, and the achievable defect coverage. The paper discusses the main challenges in this area and possible solutions, as well as future trends. © 2017 IEEE.

关键词： System-on-chip

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