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Minimal Edge Addition for Network Controllability

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 2019年第1期6卷 312-323页

作者： Chen, Ximing Pequito, Sergio Pappas, George J. Preciado, Victor M. Univ Penn Dept Elect & Syst Engn Philadelphia PA 19104 USA Rensselaer Polytech Inst Dept Ind & Syst Engn Troy NY 12180 USA

We address the problem of optimally modifying the topology of a directed dynamical network to ensure structural controllability. More precisely, given the structure of a directed dynamical network (i.e., an existing networked infrastructure), we propose a framework to find the minimum number of directed edges that need to be added to the network topology in order to render a structurally controllable system. Our main contribution is twofold: first, we provide a full characterization of all optimal network modifications, and second, we propose an algorithm able to find an optimal solution in polynomial time. We illustrate the validity of our algorithm via numerical simulations in random networked systems.

关键词： algorithm design and analysis controllability network topology

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Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management

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INFORMATION FUSION 2019年 49卷 227-239页

作者： Casado-Vara, Roberto Chamoso, Pablo De la Prieta, Fernando Prieto, Javier Corchado, Juan M. Univ Salamanca IoT Digital Innovat Hub Edificio Multiusos I D i Salamanca 37007 Spain

IoT network generates a large amount of data. This means that the monitoring and control of these networks and the transfer of packets from the IoT network to the server can cause communications to collapse. On the other hand, due to the large volume of data stored in the databases the monitoring of the IoT network needs very powerful servers to have a high degree of efficiency. This paper presents a novel adaptive closed-loop control system and speed up searches model to improve the monitor and control efficiency in IoT networks, specially those which are based in blockchain. The non linear control model under consideration includes a new way to evaluate the optimal number of blocks that should be at the queue of the miners' network in order to make the process efficient through the use of queuing theory. Also, a new system to speed up searches is presented by using hashmaps, which makes the monitoring process faster, reliable and efficient. The efficiency of the presented approach is illustrated by a numerical case study.

关键词： Adaptive closed-loop Control system algorithm design and analysis Queuing theory IoT Non-linear control

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algorithms and Comparisons of Nonnegative Matrix Factorizations With Volume Regularization for Hyperspectral Unmixing

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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2019年第12期12卷 4843-4853页

作者： Ang, Andersen Man Shun Gillis, Nicolas Univ Mons Dept Math & Operat Res B-7000 Mons Belgium

In this paper, we consider nonnegative matrix factorization (NMF) with a regularization that promotes small volume of the convex hull spanned by the basis matrix. We present highly efficient algorithms for three different volume regularizers, and compare them on endmember recovery in hyperspectral unmixing. The NMF algorithms developed in this paper are shown to outperform the state-of-the-art volume-regularized NMF methods, and produce meaningful decompositions on real-world hyperspectral images in situations where endmembers are highly mixed (no pure pixels). Furthermore, our extensive numerical experiments show that when the data is highly separable, meaning that there are data points close to the true endmembers, and there are a few endmembers, the regularizer based on the determinant of the Gramian produces the best results in most cases. For data that is less separable and/or contains more endmembers, the regularizer based on the logarithm of the determinant of the Gramian performs best in general.

关键词： Hyperspectral imaging Blind source separation Convergence Fitting algorithm design and analysis Blind source separation hyperspectral unmixing nonnegative matrix factorization volume regularization

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Distributed Continuous-Time Fault Estimation Control for Multiple Devices in IoT Networks

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IEEE ACCESS 2019年 7卷 11972-11984页

作者： Casado-Vara, Roberto Novais, Paulo Belen Gil, Ana Prieto, Javier Manuel Corchado, Juan Univ Salamanca Bisite Res Grp Salamanca 37007 Spain Univ Minho ALGORITMI Ctr Dept Informat P-4710070 Braga Portugal Osaka Inst Technol Fac Engn Dept Elect Informat & Commun Osaka 5358585 Japan IoT Digital Innovat Hub Spain Air Inst Salamanca 37188 Spain Univ Malaysia Kelantan Pusat Komputeran & Informat Kota Baharu 16100 Malaysia

This paper investigates distributed continuous-time fault estimation for multiple devices in the Internet-of-Things (IoT) networks by using a hybrid between cooperative control and state prediction techniques. First, a mode-dependent intermediate temperature matrix is designed, which constructs an intermediate estimator to estimate faulty temperature values obtained by the IoT network. Second, the continuous-time Markov chains transition matrix and output temperatures and the sufficient conditions of stability for auto-correct error of the IoT network temperatures are considered. Moreover, faulty devices are replaced by virtual devices to ensure continuous and robust monitoring of the IoT network, preventing in this way false data collection. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.

关键词： Linear feedback control systems data handling algorithm design and analysis predictive maintenance nonlinear control systems fault tolerant systems IoT

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Lightweight Wi-Fi Frame Detection for Licensed Assisted Access LTE

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IEEE ACCESS 2019年 7卷 77618-77628页

作者： Hong, Sung-Tae Lee, Harim Kim, Hyoil Yang, Hyun Jong Ulsan Natl Inst Sci & Technol Sch Elect & Comp Engn Ulsan 44919 South Korea

Licensed assisted access LTE (LAA-LTE) aggregates 5 GHz unlicensed bands with LTE's licensed bands via carrier aggregation, and adopts energy detection (ED)-based clear channel assessment (CCA) for protection of coexisting Wi-Fi devices. Since LAA-LTE requires the ED threshold should be set conservatively in the potential presence of Wi-Fi, the spatial spectrum reuse of the LAA-LTE will be much impaired. Such non-flexible thresholding has been introduced mainly due to ED's incapability of differentiating Wi-Fi frames from LTE frames. As a remedy, this paper proposes a lightweight but effective Wi-Fi frame detection method with which the LAA-LTE devices can capture a Wi-Fi preamble by only using the LAA-LTE's own time domain samples while incurring very small latency. Built upon the proposed method, we also propose the Wi-Fi energy tracking algorithm to identify the duration of a Wi-Fi frame, and a dynamic ED threshold selection algorithm. The proposed schemes were evaluated via the MATLAB simulations and USRP-based experiments, through which their efficacy has been confirmed, e.g., Wi-Fi frame detection probability up to 98.7%. Moreover, via extensive NS-3 based simulations with a multi-cell coexistence topology, we further revealed that the proposed mechanism not only enhances the spatial efficiency of the LAA-LTE achieving up to 23.68% more throughput than the legacy LAA-LTE but also protects coexisting Wi-Fi better.

关键词： algorithm design and analysis cellular networks computer simulation wireless LAN LAA-LTE schmidl-cox detection

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Tree-Based algorithms for the Stability of Discrete-Time Switched Linear Systems Under Arbitrary and Constrained Switching

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2019年第9期64卷 3823-3830页

作者： Dercole, Fabio Della Rossa, Fabio Politecn Milan Dipartimento Elettron Informaz & Bioingn I-20133 Milan Italy Univ New Mexico Dept Mech Engn Albuquerque NM 87131 USA

We present a direct approach to study the stability of discrete-time switched linear systems that can be applied to arbitrary switching, as well as when switching is constrained by a switching automaton. We explore the tree of possible matrix products, by pruning the subtrees rooted at contractions and looking for unstable repeatable products. Generically, this simple strategy either terminates with all contracting leafs-showing the system's asymptotic stability-or finds the shortest unstable and repeatable matrix product. Although it behaves in the worst case as the exhaustive search, we show that its performance is greatly enhanced by measuring contractiveness w.r.t. sum-of-squares polynomial norms, optimized to minimize the largest expansion among the system's modes.

关键词： algorithm design and analysis stability analysis - stability criteria switched linear systems systems analysis and design - asymptotic stability uncertain systems

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Special Issue: Deep Learning in Visualization and Image Processing

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IEEE COMPUTER GRAPHICS AND APPLICATIONS 2019年第4期39卷 14-15页

作者： Tong, Xin Zhou, Kun Microsoft Res Beijing 100080 Peoples R China Zhejiang Univ Hangzhou 310027 Zhejiang Peoples R China

The five papers in this special section focus on deep learning applications in computer graphics. The paper provides a look at deep-learning-based algorithms for a wide range of visualization and image processing applications, including data clustering, brushing, visualization evaluation, flow visualization, and image translation. Clustering is a fundamental tool for data analysis and visualization. While clustering methods based on deep learning have been proposed previously, most of them are parametric, meaning that the number of clusters is known a priori.

关键词： Special Issues And Sections Deep Learning Machine Learning algorithm design and analysis Cluster Approximation Computer Graphics Visualization Image Processing

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Challenges, designs, and Performances of a Distributed algorithm for Minimum-Latency of Data-Aggregation in Multi-Channel WSNs

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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2019年第1期16卷 192-205页

作者： Ngoc-Tu Nguyen Liu, Bing-Hong Chu, Shao-, I Weng, Hao-Zhe Univ Minnesota Twin Cities Dept Comp Sci & Engn Minneapolis MN 55455 USA Natl Kaohsiung Univ Sci & Technol Dept Elect Engn Kaohsiung 80778 Taiwan Natl Kaohsiung Univ Appl Sci Kaohsiung 80778 Taiwan

In wireless sensor networks (WSNs), the sensed data by sensors need to be gathered, so that one very important application is periodical data collection. There is much effort which aimed at the data collection scheduling algorithm development to minimize the latency. Most of previous works investigating the minimum latency of data collection issue have an ideal assumption that the network is a centralized system, in which the entire network is completely synchronized with full knowledge of components. In addition, most of existing works often assume that any (or no) data in the network are allowed to be aggregated into one packet and the network models are often treated as tree structures. However, in practical, WSNs are more likely to be distributed systems, since each sensor's knowledge is disjointed to each other, and a fixed number of data are allowed to be aggregated into one packet. This is a formidable motivation for us to investigate the problem of minimum latency for the data aggregation without data collision in the distributed WSNs when the sensors are considered to be assigned the channels and the data are compressed with a flexible aggregation ratio, termed the minimum-latency collision-avoidance multiple-dataaggregation scheduling with multi-channel (MLCAMDAS-MC) problem. A new distributed algorithm, termed the distributed collision-avoidance scheduling (DCAS) algorithm, is proposed to address the MLCAMDAS-MC. Finally, we provide the theoretical analyses of DCAS and conduct extensive simulations to demonstrate the performance of DCAS.

关键词： Data aggregation algorithm design and analysis distributed algorithm collision free wireless sensor networks (WSNs)

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Erratum to “Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization”

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2023年第12期53卷 7902-7902页

作者： Vikas Palakonda Jae-Mo Kang Department of Artificial Intelligence Kyungpook National University Daegu South Korea

In [1] , in Section III-B ( algorithm 3 ) and Section III-E ( algorithm 5 ), there are mistakes regarding the equation numbers that are referred to in these algorithms.

关键词： Optimization Cybernetics algorithm design and analysis

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Near-Limit Kinetic Energy Harvesting From Arbitrary Acceleration Waveforms: Feasibility Study by the Example of Human Motion

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IEEE ACCESS 2020年 8卷 219223-219232页

作者： Sokolov, Andrii Galayko, Dimitri Kennedy, Michael Peter Blokhina, Elena Univ Coll Dublin Sch Elect & Elect Engn Dublin D04 C1P1 4 Ireland Sorbonne Univ CNRS LIP6 UMR 7606 F-75005 Paris France Univ Paris Saclay CNRS Ctr Nanosci & Nanotechnol F-91120 Gif Sur Yvette France

Kinetic energy harvesters have become a common power source for autonomous sensors operating at micro- and meso-scales. The conventional approach to kinetic energy harvesting is to assume that the proof mass of the mechanical component in an energy harvester is actuated by external motion produced by the sensor's environment. This approach, dominant since the beginning of micro-scale energy harvesting, has now resulted in the design of advanced, nonlinear harvesters suitable for non-harmonic vibrations produced by many systems of interest. In this paper, we present a feasibility study of an alternative approach to kinetic energy harvesting, where the motion of the proof mass is actively synthesized.

关键词： Acceleration Kinetic energy Vibrations Resonators Trajectory Harmonic analysis Force Energy harvesting microelectromechanical systems transducers algorithm design and analysis statistical learning time series analysis

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