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International Conference on Electrical Drives and Power Electronics (EDPE)

作者： Kruno Lenac Ivan Maurović Ivan Petrović Dept. of Control and Computer Engineering University of Zagreb Zagreb Croatia

In this paper we present a novel algorithm for moving object detection in thermal images taken by a moving thermal camera. It allows a detection of moving objects in thermal images of low quality without imposing restrictions on the temperature and/or shape of the object. The main assumption required for good performance of the algorithm is that the transversal movement of the vehicle will not produce significant change in the optical flow of the static objects in the scene between two consecutive image frames. Our algorithm does not use any temperature thresholds and works well in urban environments detecting moving humans and other moving objects as well. To achieve this we use fusion of an inertial measurement unit (IMU) and a thermal camera. First we use IMU data to compensate for rotational movements of the thermal camera between two consecutive thermal images. Then we differentiate those images and filter the resulting image based on dense optical flow calculated using Farneback technique. After that moving objects are detected and further filtering is applied using random sampling consensus algorithm based on optical flow model.

关键词： Cameras Optical imaging Object detection Optical filters Adaptive optics Vehicles Optical sensors

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Mean-shift-FAST algorithm to handle motion-blur with tracking fiducial markers

Mean-shift-FAST algorithm to handle motion-blur with trackin...

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International Conference on computer engineering and Systems

作者： Eman R. AlBasiouny Amany Sarhan T. Medhat Electrical Engineering Dept. Kafrelsheikh University Kafrelsheikh Egypt Computer & Control Engineering Dept. Tanta University Tanta Egypt

Vision-based registration methods for augmented reality systems recently have been the subject of intensive research due to their potential to accurately align virtual objects with the real world. The drawbacks of these vision-based approaches, however, are their high computational cost and lack of robustness. Motion blur and partial occlusion are considered two of the most critical problems that affect robustness of tracking fiducial markers, which is used in many vision-based tracking methods like augmented reality. To overcome these two problems, this paper presents a novel method which merges FAST detection with mean shift tracking algorithms. The original color-based mean shift tracking has a major problem of detecting fiducial markers. Therefore, we used “keypoints” feature to make them more distinguishable. These keypoints are detected by FAST corner detector and tracked by mean shift tracker. Experiments show that the proposed algorithm is able to handle problems of motion blur and partial occlusion efficiently.

关键词： Target tracking Detectors Algorithm design and analysis Robustness Feature extraction Histograms

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Feature Selection algorithms based on HTML tags importance

Feature Selection algorithms based on HTML tags importance

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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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Passive macromodeling of one-port immittances via direct rational fitting of spectral factors

Passive macromodeling of one-port immittances via direct rat...

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IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization

作者： S. Grivet-Talocia A. Ubolli G. C. Calafiore Dept. Electronics and Telecommunications Politecnico di Torino Dept. Control and Computer Engineering Politecnico di Torino

ISBN: (纸本)9781479968121

In this paper, we propose an algorithm for the generation of guaranteed passive state-space models of one-port immittances from finite frequency response samples. Differently from conventional approaches, which are based on a two-step process that first fits a rational function to the samples, and only in a second stage checks and enforces passivity via perturbation, our approach provides directly a guaranteed passive model. This is achieved by computing a stable rational approximation of a spectral factor associated to the immittance function under modeling. Several examples demonstrate the feasibility of the proposed technique.

关键词： State-space modeling Model Order Reduction Loewner interpolation Passivity Immittance

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Proposed Document Frequency technique for minimizing dataset in Web crawler

Proposed Document Frequency technique for minimizing dataset...

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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

The explosive growth of webpage number on the Web has brought up some problems in the search process. One of these problems is that the general purpose search engines often return too many irrelevant results when users are searching for specific information on a given topic. Another problem is the massive increase in the number of pages to be indexed by Web search systems. In this research, two steps for Web Crawling are used to decrease these difficulties. First step is the feature selection for the datasets used. A proposed algorithm of feature selection, which uses the Document Frequency technique for the term in the category, is presented. Second step is Web page classification. Two famous techniques of Web page classification are used: (i) Support Vector Machine and (ii) Naïve Bayes Classifier. It is concluded that the proposed algorithm, using Document Frequency technique, reduces the redundancy during feature selection and increases accuracy during Web page classification. Complete evaluation is performed, in JAVA, to indicate the effectiveness of our proposed algorithm.

关键词： Classification algorithms Web pages Support vector machines Training Standards Kernel Search problems

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Designing a Smart City Internet of Things Platform with Microservice Architecture

Designing a Smart City Internet of Things Platform with Micr...

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International Conference on Future Internet of Things and Cloud (FiCloud)

作者： Alexandr Krylovskiy Marco Jahn Edoardo Patti Fraunhofer FIT Sankt Augustin Germany Dept. of Control and Computer Engineering Italy

The Internet of Things (IoT) is being adopted in different application domains and is recognized as one of the key enablers of the Smart City vision. Despite the standardization efforts and wide adoption of Web standards and cloud computing technologies, however, building large-scale Smart City IoT platforms in practice remains challenging. The dynamically changing IoT environment requires these systems to be able to scale and evolve over time adopting new technologies and requirements. In response to the similar challenges in building large-scale distributed applications and platforms on the Web, micro service architecture style has emerged and gained a lot of popularity in the industry in recent years. In this work, we share our early experience of applying the micro service architecture style to design a Smart City IoT platform. Our experience suggests significant benefits provided by this architectural style compared to the more generic Service-Oriented Architecture (SOA) approaches, as well as highlights some of the challenges it introduces.

关键词： Smart cities computer architecture Data models Standards Architecture Interoperability

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Spectral design of output feedback controllers for systems pre-compensated by input shapers

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IFAC-PapersOnLine 2015年第12期48卷 117-122页

作者： Pilbauer, Dan Vyhlídal, Tomás Michiels, Wim Dept. of Instrumentation and Control Eng. Czech Technical University in Prague Faculty of Mechanical Engineering Technická 4 Praha 6 166 07 Czech Republic Department of Computer Science Katholieke Universiteit Leuven Celestijnenlaan 200A Heverlee B-3001 Belgium

The primary objective is to investigate the applicability of spectral methods for designing feedback controllers for a closed loop system with an input shaper with time delays. The shaper is included in the feedback loop in order to pre-compensate low-damped oscillatory modes of a flexible subsystem. However, after inserting a shaper into the feedback loop, the closed loop dynamics becomes infinite dimensional. A robust controller design then requires guaranteeing that all the infinitely many poles of the closed loop system will safely be located in the left half of the complex plane. Besides, the closed loop dynamics need to be suficiently fast in order to take over and keep filtering properties of the input shaper. For the spectral design of the controller, the recently developed spectral abscissa minimization approach for interconnected time delay systems is applied. The presented methods are tested on a case study simulation example, which is a multi-degree of freedom mechanical system. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Closed loop systems

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Active Fault Diagnosis in Sampled-data Systems

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IFAC-PapersOnLine 2015年第21期48卷 883-888页

作者： Niemann, Henrik Poulsen, Niels Kjolstad Department of Electrical Engineering Automation and Control Technical University of Denmark Building 326 DK-2800 Kgs. Lyngby Denmark Dept. of Applied Mathematics and Computer Science Section for Dynamical Systems Technical University of Denmark DK-2800 Kgs. Lyngby Denmark

The focus in this paper is on active fault diagnosis (AFD) in closed-loop sampleddata systems. Applying the same AFD architecture as for continuous-time systems does not directly result in the same set of closed-loop matrix transfer functions. For continuous-time systems, the LFT (linear fractional transformation) structure in the connection between the parametric faults and the matrix transfer function (also known as the fault signature matrix) applied for AFD is not directly preserved for sampled-data system. As a consequence of this, the AFD methods cannot directly be applied for sampled-data systems. Two methods are considered in this paper to handle the fault signature matrix for sampled-data systems such that standard AFD methods can be applied. The first method is based on a discretization of the system such that the LFT structure is preserved resulting in the same LFT structure in the fault signature matrix as obtained for continuous-time systems. The other method is an approximation method, where the same structure is obtained for small parametric faults. © 2015

关键词： Continuous time systems

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Stochastic Models, Statistics and Their Applications: Wroclaw, Poland, February 2015

Stochastic Models, Statistics and Their Applications: Wrocla...

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12th Workshop on Stochastic Models, Statistics and their Applications, 2015

作者： Steland, Ansgar Szajowski, Krzysztof Rafajlowicz, Ewaryst Institute of Statistics RWTH Aachen University Aachen Germany Inst. of Mathematics and Computer Science Wroclaw University of Technology Wroclaw Poland Dept. of Computer Engineering Control and Robotics Wroclaw University of Technology Wroclaw Poland

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Efficient detection of viral transmission with threshold-based methods 5

Efficient detection of viral transmission with threshold-bas...

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5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015

作者： Rytsareva, Inna Sims, Seth Chockalingam, Sriram P. Aluru, Srinivas Campo, David S. Tetik, Cansu Thankachan, Sharma V. Khudyakov, Yury Yueli, Zheng Chirag, Jain Sue, Amanda Molecular Epidemiology and Bioinformatics Laboratory Division of Viral Hepatitis Centers for Disease Control and Prevention Atlanta United States Dept. of Computer Science and Engineering IIT Bombay Mumbai India School of Computational Science and Engineering Georgia Institute of Technology Atlanta United States Centers for Disease Control and Prevention Atlanta United States

ISBN: (纸本)9781467396639

Hepatitis C is a major public health problem in the United States and worldwide. Outbreaks of hepatitis C virus (HCV) infections associated with unsafe injection practices, drug diversion, and other exposures to blood are difficult to detect and investigate. Molecular analysis has been frequently used in the study of HCV outbreaks and transmission chains;helping identify a cluster of sequences as linked by transmission if their genetic distances are below a previously defined threshold. © 2015 IEEE.

关键词： Public health

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