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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Niedzwiecki, Maciej Meller, Michal Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Gdask University of Technology ul. Narutowicza 11/12 Gdask Poland

ISBN: (纸本)9781467369978

The problem of active feedback control of a narrowband acoustic noise in the presence of impulsive disturbances is considered. It is shown that, when integrated with appropriately designed outlier detector, the proposed earlier feedback control algorithm called SONIC is capable of isolating and rejecting noise pulses. According to our tests this guarantees stable and reliable operation of the closed-loop noise cancelling system. © 2015 IEEE.

关键词： Active noise control adaptive signal processing rejection of impulsive disturbances

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Computing finite abstractions with robustness margins via local reachable set over-approximation

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IFAC-PapersOnLine 2015年第27期48卷 1-6页

作者： Li, Yinan Liu, Jun Ozay, Necmiye Department of Automatic Control and System Engineering University of Sheffield SheffieldS1 3JD United Kingdom Department of Applied Mathematics University of Waterloo WaterlooONN2L 3G1 Canada Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States

This paper proposes a method to compute finite abstractions that can be used for synthesizing robust hybrid control strategies for nonlinear systems. Most existing methods for computing finite abstractions utilize some global, analytical function to provide bounds on the reachable sets of nonlinear systems, which can be conservative and lead to spurious transitions in the abstract systems. This problem is even more pronounced in the presence of imperfect measurements and modelling uncertainties, where control synthesis can easily become infeasible due to added spurious transitions. To mitigate this problem, we propose to compute finite abstractions with robustness margins by over-approximating the local reachable sets of nonlinear systems. We do so by linearizing the nonlinear dynamics into linear affine systems and keeping track of the linearization error. It is shown that this approach provides tighter approximations and several numerical examples are used to illustrate of effectiveness of the proposed methods. © 2015, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Robustness (control systems) Abstracting Computation theory Nonlinear systems Numerical methods Temporal logic Uncertainty analysis Abstract systems Analytical functions control synthesis Finite abstraction Hybrid control strategies Linearization errors Reachable set Robustness margins

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Robust Vehicle Localization with GPS Dropouts

Robust Vehicle Localization with GPS Dropouts

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International Conference on Intelligent and Advanced Systems

作者： Salman Ali Shaukat Muhammad Arif Umar Iqbal Bhatti Khalid Munawar Aamer Iqbal Bhatti Ubaid M. Al-Saggaf Center of Excellence in Intelligent Engineering Systems King Abdulaziz University Department of Computer Science Umm-Alqura University Department of Aeronautics and Astronautics Institute of Space Technology Control and Signal Processing Research Group Capital University of Science and Technology

ISBN: (纸本)9781509008469

Vehicle navigation systems rely on the correct positioning information and GPS is the best solution. However, in situations of GPS outage, like in tunnels and dense woods, the vehicle can lose track quickly. Modern vehicle navigation systems are mostly based on the vehicle dynamics;proprietary algorithms keep navigating for quite some time. But these solutions are expensive and add much to a vehicle's cost. This paper proposes a Kalman filter based dead-reckoning algorithm that fuses GPS information with the orientation information from a cheap IMU/INS, and the vehicle's speed accessed from its ECU. This low-cost system uses GPS and IMU/INS in a loosely coupled manner along with vehicle's speed and keeps supplying a quite accurate position information with GPS outage for significantly long intervals. With proper tuning and initialization, the proposed scheme has a potential to keep working in a completely GPS-denied situation.

关键词： Navigation GPS IMU/INS Dead-reckoning

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A Self-adaptive Similarity-based Fitness Approximation for Evolutionary Optimization

A Self-adaptive Similarity-based Fitness Approximation for E...

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IEEE Symposium Series on Computational Intelligence

作者： Jie Tian Chaoli Sun Yaochu Jin Yin Tan Jianchao Zeng Division of Industrial and System Engineering Taiyuan University of Science and Technology Taiyuan 030024 China Department ofComputer Scienoe andTechnology Taiyuan University of Science and Technology Taiyuan 030024 China Department of Computer Science University of Surrey Guildford GU27XH UK Division of Industrial and System Engineering Taiyuan University of Science and Technology Taiyuan 030024 China School of Computer Science and Control Engineering North University of China Taiyuan 030024 China

ISBN: (纸本)9781509042418

Evolutionary algorithms used to solve complex optimization problems usually need to perform a large number of fitness function evaluations, which often requires huge computational overhead. This paper proposes a self-adaptive similarity-based surrogate model as a fitness inheritance strategy to reduce computationally expensive fitness evaluations. Gaussian similarity measurement, which considers the ruggedness of the landscape, is proposed to adaptively regulate the similarity in order to improve the accuracy of the inheritance fitness values. Empirical results on three traditional benchmark problems with 5, 10, 20, and 30 decision variables and on the CEC'13 test functions with 30 decision variables demonstrate the high efficiency and effectiveness of the proposed algorithm in that it can obtain better or competitive solutions compared to the state-of-the-art algorithms under a limited computational budget.

关键词： Fitness inheritance Fitness estimation similarity Computationally expensive optimization Particle swarm optimization

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Unsupervised Aspect Level Sentiment Analysis Using Self-Organizing Maps 17

Unsupervised Aspect Level Sentiment Analysis Using Self-Orga...

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17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015

作者： Chifu, Emil St. Letia, Tiberiu St. Chifu, Viorica R. Department of Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Automatic Control Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (纸本)9781509004614

This paper presents an unsupervised method for aspect level sentiment analysis that uses the Growing Hierarchical Self-organizing Maps. Different sentences in a product review refer to different aspects of the reviewed product. We use the Growing Hierarchical Self-organizing Maps in order to classify the review sentences. This way we determine whether the various aspects of the target entity (e.g. a product) are opinionated with positive or negative sentiment in the review sentences. By classifying the sentences against a domain specific tree-like ontological taxonomy of aspects and sentiments associated with the aspects (positive/ negative sentiments), we really classify the opinion polarity as expressed in sentences about the different aspects of the target object. The approach proposed has been tested on a collection of product reviews, more exactly reviews about photo cameras. © 2015 IEEE.

关键词： Sentiment analysis

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Reliability and Security Issues for IoT-based Smart Business Center: Architecture and Markov Model

Reliability and Security Issues for IoT-based Smart Business...

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International Conference on Mathematics and computers in sciences and in Industry (MCSI)

作者： Vyacheslav Kharchenko Maryna Kolisnyk Iryna Piskachova Nikolaos Bardis Department of Computer Systems and Networks National Aerospace University “KhAI” Kharkiv Ukraine Department of Automation and Control in Technical Systems National Technical University “KPI” Kharkiv Ukraine Department of Computer Science and Control System Ukrainian State University of the Railway Transport Kharkiv Ukraine Department of Mathematics & Engineering Sciences Hellenic Military Academy Athens - Vari Greece

ISBN: (纸本)9781509009749

One of the key subsystems from point of view of security of the complex IoT system is the smart business center (SB?) system. Some problems the design and operation of the SBC system are analyzed. When analysis of safety of the IoT system must take into account the reliability and security of the system at several levels: the level of sensors, the level of communication (communication lines, router, switch), the server level as the control device of components of the network, the level of the entire SBC subsystem. General architecture of network of the SB? is described. Reliability and security of key SB? hardwareand software manufacturers are analysed. In particular, security issue for SB? routers is considered. Shown the Markov model, which takes into account the technical conditions of typical network components of the SBC with the presence of software vulnerabilities when exposed to hacker attacks. On this model's basis it is possible to conduct further researches directed for improving the reliability operation and safety of IoT.

关键词： reliability Internet of Things smart business center network security

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Digital terrain model extraction in SUAS clearance survey using LiDar data

Digital terrain model extraction in SUAS clearance survey us...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Dengchao Feng Xiaohui Yuan School of Electronic and Control Engineering North China Institute of Aerospace Engineering Langfang Hebei Province P.R.China Department of Computer Science and Technology University of North Texas Denton TX USA

With the development of small unmanned aerial systems (SUAS), the flight safety issues in low altitude has become a research focus. Clearance survey is used for locating obstacles in the airspace to ensure flight safety. In this paper, we employ LiDAR to generate digital terrain model (DTM) for achieving clearance survey. In our method, filters are designed to eliminate the abnormal data points and grids are used for recognizing obstacles. According to the principle of flight risk minimization, a maximum elevation based method is proposed to produce the digital surface model (DSM) and realize the DTM extraction. Combining the derived DTM and DSM, the low altitude space are divided into zones to ensure the flight safety of SUAS. The experimental results demonstrate the effectiveness of our proposed method. By varying the window size of the filters for processing LiDAR datasets, further improvements can be achieved.

关键词： Laser radar Safety Surface morphology Digital elevation models Atmospheric modeling Buildings Data models

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Flexible polymer/multi-walled carbon nanotube composite sensor array equipped with microheater for gas sensing

Flexible polymer/multi-walled carbon nanotube composite sens...

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International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)

作者： Chin-Cheng Wu Jin-Chern Chiou Yu-Ping Wang Li-Chun Wang Department of Electrical and Computer Engineering Institute of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Chemical System Research Division National Chung-Shan Institute of Science and Technology Taoyuan Taiwan

ISBN: (纸本)9781509015115

A polymer/multi-walled carbon nanotube (MWCNT) composite sensor array based on a flexible polyimide substrate equipped with a thermostatic microheater to provide different working temperatures was developed for gas sensing. The thermostatic microheater provided nine working temperatures ranging from 20°C to 60°C. Each microheater element included a 3 × 3 polymer/MWCNT composite sensor array, which is composed of MWCNTs and polymer composite, as a sensing material. The device was developed to investigate the effect of device temperature on the response of polymer/MWCNT composite gas sensor arrays. The response to ethanol at different temperatures showed resistance variation but similar performance for the proposed gas sensor array.

关键词： Polymers Temperature sensors Sensor arrays Gas detectors Films Carbon nanotubes

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Comparison of black box implementations of two algorithms of processing of NMR spectra, Gaussian mixture model and singular value decomposition 8

Comparison of black box implementations of two algorithms of...

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8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015

作者： Staniszewski, M. Binczyk, F. Skorupa, A. Boguszewicz, L. Sokol, M. Polanska, J. Polanski, A. Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Informatics Akademicka 16 Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Akademicka 16 Gliwice Poland Maria Skodowska-Curie Memorial Cancer Center Institute of Oncology Gliwice Branch Department of Medical Physics ul. Wybrzeze Armii Krajowej Gliwice Poland

ISBN: (纸本)9789897580697

Analysis of NMR spectra is a multi-stage computational process performed with the use of appropriately chosen sequence of algorithms. Initial stages of this process, called pre-processing, including filtering, baseline correction, phase correction and removal of unwanted components, are aimed at improving the quality of NMR spectral signal by rejection of noise, removing unnecessary spectral components and irregularities. After pre-processing the basic operations on NMR spectra are aimed at estimation of levels of certain metabolites by analysis of appropriate structural properties of NMR spectral signals. In this paper authors present design and implementation of two signals modelling methods. The first one is based on singular value decomposition of the induction decay signal. The second is done with use of mixture model constructed for frequency spectrum. Authors present all assumption that need to be satisfied and processing steps that must be performed before final analysis. The methods studied in the paper are implemented under the black-box assumption;i.e., prior knowledge of parameters of metabolites in the spectra is not used. As a second part of the project authors present a comparison of obtained result with popular modelling techniques and software LCmodel and Tarquin, based on experimental phantom dataset. Comparisons between different methods are based on the commonly used quality indexes, mean squared errors corresponding to levels of detected metabolites and specificities and sensitivities of the process of detection of metabolites. Using the presented comparisons we authors are able to characterize advantages and drawbacks of the studied approaches.

关键词： Metabolites

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Preface

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Advances in Intelligent Systems and Computing 2017年 617卷 v-vi页

作者： Vittorini, Pierpaolo Gennari, Rosella Di Masciow, Tania Rodríguez, Sara De la Prieta, Fernando Ramos, Carlos Silveira, Ricardo Azambuja Department of Life Health and Environmental Sciences University of L’Aquila L’Aquila Italy Computer Science Faculty Free University of Bozen-Bolzano Bolzano Italy Department of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy Department of Computer Science and Automation Control University of Salamanca Salamanca Spain Politécnico do Porto GECAD Instituto Superior de Engenharia do Porto Porto Portugal Department of Computer Science and Statistics Federal University of Santa Catarina FlorianópolisSC Brazil

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