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International Conference on Computer engineering and systems

作者： Amany M. Sarhan Ghada M. Hamissa Heba E. Elbehiry Computer & Automatic Control Dept. Tanta University Egypt Electrical Engineering Dept. KFS University Egypt

Traditionally in Web crawling, the required features are extracted from the whole contents of HTML pages. However, the position which a word is located inside the HTML tags indicates its importance in the web page. This research proposes two ideas concerning the Feature Selection stage in HTML web pages. The first idea reduces the features by simply extracting them from the important tags in an HTML page in order to achieve faster classification. The second idea gives weights for each of the important tags. Two algorithms are presented in this paper based on these ideas: i) Important HTML tags only algorithm, ii) Weighted Important HTML tags only algorithm. The selected features are classified using two famous classifiers in the literature: Support Vector Machine (SVM) and Naïve Bayes classifier (NBC). The accuracy of each algorithm is computed. Comparison between the accuracies of traditional feature selection method, which uses the whole contents of HTML page, and the proposed algorithms is performed. Complete evaluation is performed which indicates the effectiveness of using our technique. The experimental results show improved precision and recall with the proposed algorithms with respect to keyword-based search. The algorithms are implemented in JAVA and its extended packages.

关键词： Web pages HTML Classification algorithms Support vector machines Feature extraction Search engines Crawlers

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Reconfiguration architecture for updates of automation systems during operation

Reconfiguration architecture for updates of automation syste...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Rafael Priego Daniel Schütz Birgit Vogel-Heuser Marga Marcos Dept. of Automatic Control and System Engineering ETSI Bilbao Basque Country University (UPV/EHU) Spain Technische Universitat Munchen Munchen Bayern DE

In recent years automation systems have been required to provide characteristics of flexibility and efficiency in order to cope with the fast changes of the market and consumer demands. To deal with these requirements, the industry has started to implement reconfiguration techniques in order to allow the automation system to reschedule the production, recover from faulty situations and to update the controller at run time, among others. Previous works of authors have been aimed at a model-based definition of the plant components and operations, related to a product. Additionally, automatic code generation has been proposed to obtain an optimal control sequence. This paper extends these previous works with an architecture that generates and updates the software architecture of a Programmable Logic controller during runtime, in response to changes on the plant layout, the product to be manufactured or the control hardware.

关键词： Load modeling Computer architecture Automation Planning Unified modeling language Production Software

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Representing externally positive systems through minimal eventually positive realizations

Representing externally positive systems through minimal eve...

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IEEE Annual Conference on Decision and control

作者： Claudio Altafini Division of Automatic Control Dept. of Electrical Engineering Linkoping University SE-58183 Sweden

ISBN: (纸本)9781479978878

In order to investigate the cases in which an externally positive discrete-time system fails to have a minimal positive realization, in this paper we introduce the notion of minimal eventually positive realization, for which the state update matrix becomes positive after a certain power. This property captures the idea that in the impulse response of an externally positive system the state of a minimal realization may fail to be positive, but only transiently. It is shown in the paper that whenever a minimal eventually positive realization exists, then the sequence of Markov parameters of the impulse response admits decimated subsequences for which minimal positive realizations exist and can be obtained by downsampling the eventually positive realization.

关键词： IMPULSE RESPONSE Positive minimal realization Minimal time system

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Development of Firewall Optimization Model Using by Packet Filter

Development of Firewall Optimization Model Using by Packet F...

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International Conference on Computer Modeling and Simulation, UKSIM

作者： Myo Thant Kyaw Zaw Ye Kyaw Myat Thu Si Thu Thant Sin Mandalay Division Defence Services Science and Technology Research Center PyiOoLwin Myanmar Department of Informatics and Computer Software System National Research University of Electronic Technology Zelenograd Moscow Russia Department of Automatic Control Systems Bauman Moscow State Technical University Moscow Russia Dept. of Comput. Sci. Nat. Res. Univ. of Electron. Technol. Zelenograd Russia

ISBN: (纸本)9781509008896

This paper studies one particular aspect of providing communication security: firewall technology. This article provides a security framework in the form of packet filtering model within the firewall technology system and its components can be designed and evaluated. This paper introduces a reference model based on packet filtering firewall technology. All components are governed by a centralized security policy and they can be deployed in a distributed fashion to achieve scaling. This packet filtering firewall design is proven technology that provides confidentiality, integrity and availability in own information and network resources. The required design implement to set-up packet filtering firewall for network to protect and unauthorized access to our network. We describe the filtering process design depends on its underlying network technologies. The resulting security mechanism can be used as a bastion-host in the construction of firewall system.

关键词： Computational modeling Filtering Transport protocols Computers Informatics Software

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An adaptive dynamic inversion-extremum seeking control approach for constrained robotic motion tasks

An adaptive dynamic inversion-extremum seeking control appro...

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European control Conference

作者： Vasiliki Koropouli Azwirman Gusrialdi Dongheui Lee Automatic Control Engineering Technische Universitat Munchen Dept. of Electrical Engineering and Computer Science University of Central Florida

ISBN: (纸本)9781467371605

In this paper, an adaptive control approach is proposed for performance of constrained robot end-effector movements in presence of uncertainty. In real-world scenarios, complex physical phenomena occuring at the place of interaction may introduce nonlinearities in the system dynamics, which have to be taken into account for proper system control. We currently propose an Extremum Seeking (ES) Model Reference Adaptive control (MRAC) approach for state tracking of multiple-input multiple-output systems which enclose nonlinearities in their dynamics and involve parametric uncertainty by employing Adaptive Dynamic Inversion (ADI). According to ADI, system nonlinearities are assumed known and are taken into account in the design of the system control law. The proposed scheme is based on MRAC and ADI while the unknown controller parameters are adapted by ES control. The system is shown to achieve global and asymptotic reference state tracking under the proposed control law by performing Lyapunov and averaging analysis. The approach is evaluated in simulation and in an experimental robot task.

关键词： MIMO Adaptation models Robots Tracking Dynamics Adaptive control Nonlinear dynamical systems

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Teleconference Application for Mobile Surveillace and Telemedicine systems

Teleconference Application for Mobile Surveillace and Teleme...

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International Conference on control systems and Computer Science (CSCS)

作者： Ciprian Lupu Cosmin-Constantin Mihai Dept. of Automatic Control and Systems' Engineering University Politehnica of Bucharest Bucharest Romania Universitatea din Bucuresti Bucuresti RO

This paper describes the implementation of a surveillance, monitoring and teleconference system used by the TELEDIM telemedicine system. Windows tablets and smart phones are used to capture audio and video data and se... 详细信息

关键词： Servers Streaming media Surveillance Data acquisition Ad hoc networks IEEE 802.11 Standard Program processors

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Subspace Network Codes with Large Cardinality

Subspace Network Codes with Large Cardinality

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International Conference on engineering and Telecommunication (EnT)

作者： E. M. Gabidulin N. I. Pilipchuk Dept. of Radio Engineering and Control System Moscow Institute of Physics and Technology (State University) Moscow Russia

A network is considered as a directed acyclic graph. A source sends to a destination packets organized as a matrix over the finite field. Such a matrix can be treated as a subspace over the finite field spanned by matrix rows. We investigate an important problem how to construct subspace network codes with large cardinality. We obtained conditions where these codes have maximal cardinality.

关键词： Upper bound control systems Physics Electronic mail Measurement Computers

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Robust trajectory design for object throwing based on sensitivity for model uncertainties

Robust trajectory design for object throwing based on sensit...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Masafumi Okada Alexander Pekarovskiy Martin Buss Dept. of Mechanical Sciences and Engineering Tokyo Institute of Technology Tokyo Japan Inst. of Automatic Control Engineering Technische Universitat Munchen Munich Germany

ISBN: (纸本)9781479969241

Throwing an object by a powered robot system is of great importance in unmanned environments. In this paper, we consider the problem of throwing a point-mass object to minimize uncertainty in the object's landing position, given uncertainty in (1) the robot's initial configuration and (2) friction at the joints. Our analysis assumes that the robot's throw is executed using open-loop torque commands, and it relies on the linearized sensitivities of (a) landing location with respect to release state, (b) release state with respect to initial robot configuration and (c) joint friction. Moreover, the effectiveness of the proposed method is evaluated by Monte-Carlo simulations.

关键词： Sensitivity Joints Mathematical model Friction Trajectory Uncertainty Manipulators

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Existence, uniqueness and stability properties of positive equilibria for a class of nonlinear cooperative systems

Existence, uniqueness and stability properties of positive e...

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IEEE Annual Conference on Decision and control

作者： Precious Ugo Abara Francesco Ticozzi Claudio Altafini Dept. of Information Engineering via Gradenigo 6B University of Padova 35131 Padova Italy Division of Automatic Control Dept. of Electrical Engineering Linkoping University SE-58183 Linkoping Sweden

ISBN: (纸本)9781479978878

We provide conditions that guarantee existence, uniqueness and stability of strictly positive equilibria for nonlinear cooperative systems associated to vector fields that are concave or subhomogeneous. This class of positive systems describes well interconnected dynamics that are of key interest for communication, biological, economical and neural network applications. These conditions can be formulated directly in terms of the spectral radius of the Jacobian of the system, and do not require to use constant inputs to move the equilibrium point from the origin to the interior of the positive orthant.

关键词： Jacobian matrices Cooperative systems Stability analysis Trajectory Power control Neural networks Nonlinear dynamical systems

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