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arXiv 2018年

作者： Lindmark, Gustav Altafini, Claudio Division of Automatic Control Dept. of Electrical Engineering Linköping University LinköpingSE-58183 Sweden

This paper investigates the problem of controlling a complex network with reduced control energy. Two centrality measures are defined, one related to the energy that a control, placed on a node, can exert on the entire network, the other related to the energy that all other nodes exert on a node. We show that by combining these two centrality measures, conflicting control energy requirements, like minimizing the average energy needed to steer the state in any direction and the energy needed for the worst direction, can be simultaneously taken into account. From an algebraic point of view, the node ranking that we obtain from the combination of our centrality measures is related to the non-normality of the adjacency matrix of the graph. Copyright © 2018, The Authors. All rights reserved.

关键词： Complex networks

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An integral sliding mode control for the magnetic levitation system based on backstepping approach

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IOP Conference Series: Materials Science and engineering 2020年第1期881卷

作者： Shibly Ahmed Al-Samarraie Ivan Isho Gorial Mustafa Hussein Mshari Assistant Prof. Control & Systems Engineering Department University of Technology Baghdad Iraq Lecturer Control & Systems Engineering Department University of Technology Baghdad Iraq Computer Eng. Dept. AL-Esraa University College Baghdad-Iraq

Due to their reduced maintenance costs, increased power efficiency and reduced power consumption, the Magnetic Levitation (Maglev) system make a significant contribution to the industrial application. Maglev's production of electricity (e.g. wind turbines), maglev trains and medical devices (e.g. artificial heart pump magnetically suspended) are typical applications. This paper suggests designing a nonlinear control for the Maglev system model which represented by a third-order model consists of the mechanical (ball position and velocity) and electrical (the current) subsystems. The controller is designed utilizing the Integral Sliding Mode control (ISMC) and based on the Backstepping approach. The tracking accuracy of the ball position to the desired reference is determined by computing the ultimate boundedness as a function to the controller parameters and that using the Lyapunov function. The numerical simulation results showed the robustness and the efficiency of the proposed controller where the tracking error limited by the computed bound.

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HBST: A hamming distance embedding binary search tree for visual place recognition

arXiv

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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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EEG Multi-Objective Feature Selection Using Temporal Extension

EEG Multi-Objective Feature Selection Using Temporal Extensi...

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IEEE International Conference on Intelligent computer Communication and Processing (ICCP)

作者： Lavinia Ferariu Corina Cîmpanu Tiberius Dumitriu Florina Ungureanu Dept. of Automatic Control and Appplied Informatics Gheorghe Asachi Technical University of Iaşi Iaşi Romania Dept. of Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

Nowadays Electroencephalogram (EEG) devices allow the recording of signals that can be used to extract information necessary to identify different types of cognitive processes. In EEG classification, Feature Selection (FS) represents a pivotal phase, as these problems request the processing of a large amount of high-dimensional patterns. In this paper, FS has been solved by an embedded multi-objective genetic optimization procedure which evolves a population of potential solutions (subsets of features), subject to the simultaneous minimization of the misclassification ratio and number of selected attributes. Random Forests (RF) classifiers are adopted, due to their fast training and their compatibility with spread classes of very diverse patterns. The main contribution presented in this paper consists in introducing an inertial behavior to feature extraction. The available feature set is extended with features from previous time frames, and FS is performed on this extended set. In this context, the experimental analysis illustrates the impact of the temporal extension on FS. Additionally, two enhancements are proposed for the multi-objective optimization, to support an effective Pareto-ranking of the solutions in the expanded exploration search space. Thus, the number of trees in the embedded RF classifier is gradually increased, for reducing the computational load requested for the evaluation of the misclassification ratio, without impeding the exploration. Also, the preference for the minimization of misclassifications is set by introducing a dynamic objective function for describing the parsimony of the selected subset of attributes. The proposed FS is experimentally demonstrated on EEG data collected during mathematical tasks of gradual complexities.

关键词： Electroencephalography Feature extraction Radio frequency Encoding Task analysis Genetic algorithms Optimization

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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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Design and implementation of new delay-efficient/configurable multiplier using FPGA 12

Design and implementation of new delay-efficient/configurabl...

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12th International Conference on computer engineering and Systems, ICCES 2017

作者： El Atre, Soad Gamal Mohamed Alshewimy, Mahmoud A. M. Computers and Automatic Control Dept. Faculty of Engineering Tanta University Tanta Egypt

ISBN: (纸本)9781538611913

New delay-efficient configurable multiplier based on Modified Booth's Algorithm (MBA) and Wallace Tree (WT) structure for multiplying two m-bit operands - where m ranges from 8-bit to 128-bit - is introduced. WT structure has been used to reduce the number of sequential adding stages and speed improvements have been achieved. Modifying Booth's multiplier architecture at a fundamental level is an advantageous concept that sets FPGA based multiplier models apart from rigid-architecture conventional multipliers. In the context of this work, various multipliers, based on MBA and WT, have been developed with the smallest possible time delay. Comparisons have been made between the proposed multiplier implementations and those found in the literature. The comparative results show that the proposed multiplier introduces delay improvement reaches % 42.64. © 2017 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Do Positive Twitter Messages Have Impact on Stock Liquidity?

Do Positive Twitter Messages Have Impact on Stock Liquidity?

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作者： Abdirahmani, Aliasghar Angulo, Cecilio Automatic Control Dept. Universitat Politècnica de Catalunya Pau Gargallo 14. BacelonaTech08028 Spain Knowledge Engineering Research Group Intelligent Data Science and Artificial Intelligence Research Center Univ. Politècnica Catalunya BarcelonaTech Spain

ISBN: (纸本)9781614999171

Social media is a phenomenon that has transformed the interaction and communication of individuals throughout the world. In recent times, social media has affected many aspects of human communication, as well as business. The main objective of our research is to figure out about the role of Twitter on stock market to find out how social media impacts on the business that predictions fail. © 2018 The authors and IOS Press.

关键词： Sentiment analysis

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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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