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Wavelet transform based technique for text image localization

Karbala International Journal of Modern science 2016年第2期2卷 138-144页

作者： Ali, Suhad A. Hashim, Ashwaq T. Babylon University Science College for Women Computer Science Dep. Babylon Iraq Technology University Control and Systems Engineering Dep. Baghdad Iraq

In this paper, a robust technique based on discrete wavelet transform, edge detection, and morphology operation for scene text detection is proposed. There are several stages in the proposed method. In the first stage, a single wavelet decomposition LH, HL and HH subbands are applied for detecting edges in original scene text image. The projection technique is applied in the second stage to preliminary detect text and non-text pixels. In third stage, 4-connected components are applied, and then area geometric feature is used as threshold to remove non-text region. At last stage, morphological operations are applied to connect isolated text components and to remove non-text regions. The proposed method is applied on a various images such as images of low contrast, complex background images and images of different fonts and size of text. The experimental results show that the proposed method can detect regions of the text perfectly. © 2016 The Authors

关键词： Connected components DWT Image projection Morphological operator

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Learning analytics trends and challenges in engineering education: SNOLA special session

Learning analytics trends and challenges in engineering educ...

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2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018

作者： Rodriguez, Manuel Caeiro Gonzalez, Miguel Angel Conde Alvarez, Ainhoa Larranaga, Mikel Mones, Alejandra Martinez Munoz-Merino, Pedro J. Hernandez-Garcia, Angel Pastor, Rafael Cruz-Benito, Juan Munoz, Salvador Ros Guenaga, Mariluz Departamento de Enxeñaría Telemática Universidade de Vigo Vigo Spain Área de Arquitectura y Tecnología de Computadores Universidad de León Spain Departamento de Lenguajes y Sistemas Informáticos Euskal Herriko Unibersitatea UPV/EHU Spain Departamento de Informática Universidad de Valladolid Spain Departamento de Ingeniería Telemática Universidad Carlos III de Madrid Spain Dep. Ing. de Organización Adm. de Empresas y Estadística Universidad Politécnica de Madrid Spain Departamento de Sistemas de Comunicación y Control Universidad Nacional de Educación A Distancia Spain GRIAL Research Group Computer Science Department University of Salamanca Spain Faculty of Engineering Universidad de Deusto Spain

ISBN: (纸本)9781538629574

SNOLA is a Thematic Network of Excellence recognized by the Spanish Ministry of Economy and Competitiveness composed of the main Spanish researchers in the field of learning analytics. This network emerged in 2013 focusing mainly on the technology underlying learning analytics development, but also interested on the integration of other views and disciplines that give the network a wider scope. During these years, SNOLA has carry out numerous actions with the goal of promoting the collaboration on this field, the diffusion of knowledge and initiatives, the collection of resources and the provision of broad support. Remarkable examples of these efforts have been LASI Spain events, workshops at TEEM conferences or the numerous webinars. In this case, the EDUCON 2018 has given us the opportunity to organize this special session where 5 papers have been selected for presentation. © 2018 IEEE.

关键词： Learning systems

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The effects of machining strategies of magnetic assisted roller burnishing on the resulted surface structure

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IOP Conference Series: Materials science and Engineering 2018年第1期448卷

作者： Zsolt Kovács Zsolt János Viharos János Kodácsy John von Neumann University GAMF Faculty of Engineering and Computer Science Dep. of Vehicle Technology Kecskemét H-6000 Hungary Department of Manufacturing Science and Technology Budapest University of Technology and Economics Budapest H-1111 Hungary Institute for Computer Science and Control of the Hungarian Academy of Sciences Kende u. 13-17 Budapest H-1111 Hungary John von Neumann University Faculty of Economics and Business Department of Economics and Law Kecskemét H-6000 Hungary

The aim of this paper is to investigate the effect of different burnishing strategy on a C45 steel machining. Burnishing is a well-known, cold working surface improving technology, it is usually applied for cylindrical workpiece. In the reported research a novel developed magnetic assisted ball burnishing (MABB) tool was applied which was designed for MABB machining of flat and harmonic surfaces. To increase its efficiency, different types of machining strategies were applied. After the burnishing process the machined surfaces were measured by surface roughness tester to determine the most important Rsk and Rku tribological parameters. According to the results it can be stated that all different burnishing strategies have special application areas where they can be used efficiently (e.g. sliding surface, moulding tool and after- or pre-machining for ultra-precision machining).

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Model correction mechanishm for nonlinear time variant systems as support to predictive control strategies 19

Model correction mechanishm for nonlinear time variant syste...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Pérez-Castro, A. Sánchez, J. Guzmán, J.L. Dep. of Computer Science and Automatic Control National Distance Education University Madrid Spain Dep. of Computer Science University of Almería Almería Spain

ISBN: (纸本)9783902823625

This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the differences with an available nonlinear model of the system. The proposed approach has a double functionality;on the one hand, it allows a better performance of using nonlinear models for control purposes, like for nonlinear predictive controllers;and on the other hand, it can be used as a diagnosis mechanism since it provides relevant information about the current state of the system. Thus, in order to use this technique with nonlinear time variant systems, a nonlinear model predictive control strategy has been used. The estimator proposed within the framework of this work is similar to the Moving Horizon Estimation strategy. Experimental results on a real tank process are presented to show the main properties of the proposed architecture. © IFAC. © Copyright IFAC 2014.

关键词： Model predictive control

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Reaching a consensus on access detection by a decision system 2

Reaching a consensus on access detection by a decision syste...

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2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014

作者： Guevara, Cesar Santos, Matilde Martin, Jose Antonio Lopez, Victoria Dep. Computer Architecture and Automatic Control Complutense University of Madrid Madrid Spain

ISBN: (纸本)9781479920334

Classification techniques based on Artificial Intelligence are computational tools that have been applied to detection of intrusions (IDS) with encouraging results. They are able to solve problems related to information security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined to improve the performance of a classifier. In order to validate the system, a scenario based on real data of the NSL-KDD99 dataset is used. © 2014 IEEE.

关键词： Decision trees

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Model correction mechanishm for nonlinear time variant systems as support to predictive control strategies

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IFAC Proceedings Volumes 2014年第3期47卷 5975-5980页

作者： A. Pérez-Castro J. Sanchez J.L. Guzman Dep. of Computer Science and Automatic Control National Distance Education University Madrid Spain Dep. of Computer Science University of Almería Almería Spain

This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the differences with an available nonlinear model of the system. The proposed approach has a double functionality; on the one hand, it allows a better performance of using nonlinear models for control purposes, like for nonlinear predictive controllers; and on the other hand, it can be used as a diagnosis mechanism since it provides relevant information about the current state of the system. Thus, in order to use this technique with nonlinear time variant systems, a nonlinear model predictive control strategy has been used. The estimator proposed within the framework of this work is similar to the Moving Horizon Estimation strategy. Experimental results on a real tank process are presented to show the main properties of the proposed architecture.

关键词： Modeling Model Predictive control Nonlinear Model Predictive control System diagnosis Nonlinear time variant models Moving Horizon Estimation

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An unconditionally stable finite difference scheme systems described by second order partial differential equations

An unconditionally stable finite difference scheme systems d...

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International Workshop on Multidimensional (nD) Systems

作者： Petr Augusta Blazej Cichy Krzysztof Galkowski Eric Rogers Inst. of Inf. Theory and Automation The Czech Academy of Sciences Prague Czech Republic Inst. of Control and Computation Eng. University of Zielona Gora Zielona Gora Poland Dep. of Electronics and Computer Science University of Southampton Southampton UK

An unconditionally stable finite difference scheme for systems whose dynamics are described by a second-order partial differential equation is developed. The scheme is motivated by the well-known Crank-Nicolson discretization which was developed for first-order systems. The stability of the finite-difference scheme is analysed by von Neumann's method. Using the new scheme, a discrete in time and space model of a deformable mirror is derived as the basis for control law design. The convergence of this scheme for various values of the discretization parameters is checked by numerical simulations.

关键词： Approximation methods Mathematical model Mirrors Numerical stability Stability analysis Numerical models Actuators

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Reaching a Consensus on Access Detection by a Decision System

Reaching a Consensus on Access Detection by a Decision Syste...

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2014 IEEE International Conference on Progress in Informatics and Computing

作者： César Guevara Matilde Santos José AntonioMartín Victoria López Dep. Computer Architecture and Automatic Control Complutense University of Madrid

Classification techniques based on Artificial Intelligence are computational tools that have been applied todetection of intrusions(IDS) with encouraging results. They are able tosolve problems related toinformation security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined toimprove the performance of a classifier. In order tovalidate the system, a scenariobased on real data of the NSL-KDD99 datasetis used.

关键词： artificial intelligence heuristic methodologies intrusion detection(IDS) decision trees supervised classifying system UCS naive Bayes

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Reaching a consensus on access detection by a decision system

Reaching a consensus on access detection by a decision syste...

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Cesar Guevara Matilde Santos Jose Antonio Martin Victoria Lopez Dep. Computer Architecture and Automatic Control Complutense University of Madrid Madrid Spain

关键词： Intrusion detection Databases Decision trees Classification algorithms Artificial intelligence computers

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Structure theorems for optimum hyperpaths in directed hypergraphs

Structure theorems for optimum hyperpaths in directed hyperg...

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2nd International Symposium on Combinatorial Optimization, ISCO 2012

作者： Ausiello, Giorgio Italiano, Giuseppe F. Laura, Luigi Nanni, Umberto Sarracco, Fabiano Dep. of Computer Control and Management Engineering Antonio Ruberti Sapienza Univ. of Rome Via Ariosto 25 Roma 00185 Italy Dep. of Computer Science Systems and Production Univ. of Rome Tor Vergata Via del Politecnico 1 Roma 00133 Italy

ISBN: (纸本)9783642321467

The cost of hyperpaths in directed hypergraphs can be measuread in various different ways, which have been used in a wide set of applications. Not surprisingly, dep.nding on the considered measure function the cost to find optimum hyperpaths may range from NP-hard to linear time. A first solution for finding optimum hyperpaths in case of a superior functions (SUP) can be found in a seminal work by Knuth [5], which generalizes Dijkstra's Algorithm [3] to deal with a grammar problem. In this paper we define a hierarchy of classes of optimization problems based on the properties of the cost measures. After showing that measures can be classified on the basis of the structure of the optimum hyperpath they determine, we present an alternative taxonomy of measure functions, based on their analytic properties, and prove structure theorems that relate the two hierarchies. © 2012 Springer-Verlag.

关键词： Costs

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