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Semantic Computing for Railway Infrastructure Verification

Semantic Computing for Railway Infrastructure Verification

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International Conference on Semantic Computing

作者： Michael Lodemann Norbert Luttenberger Elferik Schulz Dept. of Computer Science Christian-Albrechts-University Kiel Germany Funkwerk AG Traffic & Control Communication Kiel Germany

We present an approach for modeling, verification and debugging of railway infrastructures. The aim of this work is to improve the planning process of new railway lines. We define a set of OWL ontologies for describing the static interrelations of railway tracks and safety elements. Planning instructions-so far available in natural language only-are formally modeled by SWRL rules. The Open World Assumption underlying OWL makes it difficult to perform ontology debugging. Therefore, the concept of Semantic Constraints-based on a dynamic rule composition process-is developed.

关键词： Ontologies Rail transportation Planning Debugging Semantics Safety OWL

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Silhouette based gait recognition based on the area features using both model free and model based approaches

Silhouette based gait recognition based on the area features...

引用

IEEE Conference on Technologies for Homeland Security

作者： Arihant Kochhar Divyesh Gupta Madasu Hanmandlu Shantaram Vasikarla Dept. of Computer Science Columbia University New York NY Dept. of Control and Inst. N. S. Institute of Technology New Delhi India Dept. of Electrical Engineering Indian Institute of Technology New Delhi India Dept. of Computer Science California State University Northridge CA

Gait recognition has lately attracted the attention of a plethora of computer vision and biometric systems researchers. It offers advantages like non-invasiveness, data acquisition from a distance and low resolution. The geometric area between the limbs derived from the spatial-temporal silhouettes serves as an effective feature that is capable of differentiating subjects. Both model-based and model-free approaches are tried while extracting features for the gait recognition. Support Vector Machine (SVM) classifier is used for training the features from silhouettes of the known gaits and identifying the unknown gaits based on the same features. Experimentation on the silhouette samples of publicly available CASIA database vindicates the supremacy of the model based approach over the model free approach.

关键词： Feature extraction Support vector machines Legged locomotion Gait recognition Biological system modeling Shape Analytical models

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Sensor fusion for tethered wings in airborne wind energy

Sensor fusion for tethered wings in airborne wind energy

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American control Conference

作者： L. Fagiano K. Huynh B. Bamieh M. Khammash Automatic Control Laboratory ETH Zurich Switzerland Dept. of Mechanical Engineering University of California at Santa Barbara CA USA Department of Biosystems Science and Engineering ETH Zurich Switzerland

ISBN: (纸本)9781479901777

A study on filtering aspects of airborne wind energy generators is presented. This class of renewable energy systems aims to convert the aerodynamic forces generated by tethered wings into electricity. The reconstruction of the wing's position and velocity is investigated here. Different sensor setups are considered, and the related sensor fusion algorithms are presented. The different approaches are compared through experiments on a small-scale prototype. The designed filtering algorithms rely purely on kinematic laws, hence the results obtained are representative also of systems with larger size and different wing designs.

关键词： airborne wind energy wing's position different wing designs

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Energy management in an electrical hybrid system using a fuzzy inference control system

Energy management in an electrical hybrid system using a fuz...

引用

International Conference on Industrial Engineering and Systems Management (IESM)

作者： Sanaa Faquir Ali Yahyaouy Hamid Tairi Jalal Sabor Computer Science dept. College of Science Dhar Mehraz Sidi Mohamed Ben Abdallah University Fes Morocco Automatic Electronic Electrotechnic et Electromecanic Dept. (AEEE) Ecole Nationale Superieurs d'Arts et Metiers (ENSAM) Meknes Morocco

The rapid increment of the population and the consummation of energy in the world as well as the depletion of fossil resources generated a significant increment in the prices of natural resources such as petrol and natural gaz. This elevation led to the use of hybrid electrical systems. The use of these multi sources systems progressed a lot in different industrial sectors. Between all sources of energy that we have, the batteries and renewable sources of energy such as photovoltaic and wind contain the highest specified energy. In contrast to fossil energy, renewable energy must be harvested when it is available, and to maintain a balance between production and consumption, some sort of energy storage is needed or at least of value. This paper presents a study of an electrical hybrid system using two important renewable energies: solar and wind energies, and investigates a control strategy using fuzzy logic to ensure and manage, in an adequate and automated way, the flow of energy in the system and the two storage devices used: batteries and super capacitors.

关键词： Fuzzy logic Wind Wind turbines Renewable energy sources Photovoltaic systems Batteries Wind energy

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Invariant Observer Design of a RGB-D Aided Inertial System for MAV in GPS-denied Environments

Invariant Observer Design of a RGB-D Aided Inertial System f...

引用

IEEE International Conference on Systems, Man, and Cybernetics

作者： Dachuan Li Qing Li Nong Cheng Jingyan Song Qinfan Wu Liangwen Tang Tsinghua National Laboratory for Information Science and Technology Dept. of Automation Tsinghua University Beijing China National Key Laboratory on Flight Vehicle Control Integrated Technology Flight Automatic Control Research Institute Xi'an China

ISBN: (纸本)9781479906505

This paper presents an non-linear observer framework that uses low-cost inertial measurement units (IMU) and RGB-D sensor to provide position, attitude and velocity estimates for micro aerial vehicles (MAV) in GPS-denied environments. The data fusion of inertial measurements and RGB-D motion estimates is performed through the observer, which is based on the invariant observer approach for symmetry possessing systems. The gains of the invariant observer are computed using an adaption of the invariant Extended Kalman Filter (IEKF). In addition, a robust RGB-D odometry algorithm is proposed to estimate the relative motions using successive images captured by the RGB-D sensor, which is used as an aiding measurement for accurate state estimation. The proposed approach guarantees a simplified form of estimation error dynamics, as well as simplified calculation of observer gains. The resulting observer is implemented on a quadrotor MAV and successfully validated through indoor flight tests. Experimental results demonstrate that the proposed observer is effective in estimating the motion states of the MAV in GPS-denied environments.

关键词： Micro aerial vehicle state estimation data fusion invariant observer invariant Kalman filter Micro aerial vehicle KLHL2 gene Data fusion State estimation data integration Invariant inertial systems Environments

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Self-explanatory Convex Sparse Representation for Image Classification

Self-explanatory Convex Sparse Representation for Image Clas...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Bao-Di Liu Yu-Xiong Wang Bin Shen Yu-Jin Zhang Yan-Jiang Wang Wei-Feng Liu College of Information and Control Engineering China University of Petroleum Qingdao 266580 China School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 USA Dept. of Computer Science Purdue University West Lafayette IN 47907 USA Dept. of Electronic Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9781479906505

Sparse representation technique has been widely used in various areas of computer vision over the last decades. Unfortunately, in the current formulations, there are no explicit relationship between the learned dictionary and the original data. By tracing back and connecting sparse representation with the K-means algorithm, a novel variation scheme termed as self-explanatory convex sparse representation (SCSR) has been proposed in this paper. To be specific, the basis vectors of the dictionary are refined as convex combination of the data points. The atoms now would capture a notion of centroids similar to Kmeans, leading to enhanced interpretability. Sparse representation and K-means are thus unified under the same framework in this sense. Besides, an appealing property also emerges that the weight and code matrices both tend to be naturally sparse without additional constraints. Compared with the standard formulations, SCSR is easier to be extended into the kernel space. To solve the corresponding sparse coding subproblem and dictionary learning subproblem, block-wise coordinate descent and Lagrange multipliers are proposed accordingly. To validate the proposed algorithm, it is implemented in image classification, a successful applications of sparse representation. Experimental results on several benchmark data sets, such as UIUC-Sports, Scene 15, and Caltech-256 demonstrate the effectiveness of our proposed algorithm.

关键词： Convex hull Sparse representation Coordinate descent Image classification Image classification sparse representation convex hull images computer vision Dictionaries as Topic Convexity

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Multifractal analysis of human peripapillary atrophy

Multifractal analysis of human peripapillary atrophy

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International Symposium on Image and Signal Processing and Analysis

作者： Ştefan Tälu Mihai Tälu Zoltán Fazekas Stefano Giovanzana Dept. of AET Technical University of Cluj Napoca Romania Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary Department of Applied Mechanics University of Craiova Romania Department of Material Science University of Milano Bicocca Milano Italy

Multifractal characteristics of the retinal vascular networks in healthy patients and patients with peripapillary atrophy (PPA) are compared in the paper. Segmented and skeletonized fundus images from the DRIVE database were analyzed over the image region corresponding to the macular area and over the whole image. The regional and overall multifractal characteristics of fundi could serve as further clues in detecting human PPA and for quantifying the pathological stages of PPA cases.

关键词： Retina Fractals Optical imaging Image segmentation Optical signal processing Atrophy Biomedical imaging

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Modeling and control of a Novel Hybrid Ground Aerial Robot

Modeling and Control of a Novel Hybrid Ground Aerial Robot

引用

IEEE International Conference on Mechatronics and Automation

作者： Mahmoud Elsamanty Mohamed Fanni Ahmed Ramadan Ahmed Abo-Ismail Mechatronics and Robotics Eng. Dept. Egypt-Japan University of Science and Technology Alexandria Egypt Adjunct Professor at Mechatronics and Robotics Eng. Dept. Egypt-Japan University of Science and Technology. Prod. Eng. & Mechanical Design Dept. Mansoura University Mansoura Egypt. Adjunct Professor at Mechatronics and Robotics Eng. Dept. Egypt-Japan University of Science and Technology. Computers Engineering & Automatic Control Dept. Tanta University Tanta Egypt.

ISBN: (纸本)9781467355599

This paper presents the dynamic modeling and control simulation of a novel robot that combines flying motion and on ground motion into an integrated single robot. The ground motion is based on four wheels configuration that provides more stability. The flying motion is depending on the flying mechanism of quadrotor system. Smart transformation mechanism is developed to switch the robot from the ground motion configuration to the flying motion configuration and vice versa without adding any additional actuators. A manipulator with 3 DOF is added to handle an object during the ground motion and it is useful to hold this object during the flying motion. A CAD model is developed using SOLIDWORKS. The dynamic model of this robot is derived to achieve the eccentricity of the payload, the weight of the eccentric manipulator and managing the variation of the payload in the dynamic model. The derived robot dynamics are highly nonlinear. A controller is designed based on feedback linearization technique to stabilize the robot attitude and altitude. controlling the horizontal movements' nonholonomic constraints is used to generate the desired trajectories of robot attitudes. Another dynamic model and controller have been established for the transformation mechanism. Finally, the simulation results using MATLAB/SIMULINK show that the controller successfully vanish the eccentric effect and stabilize the robot attitude.

关键词： Flying robot Dynamic Modeling of UA V Feedback Linearization technique controller design

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Hierarchical fuzzy approaches for a piloted Quality Management System

Hierarchical fuzzy approaches for a piloted Quality Manageme...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： H. Ben Mahmoud R. Ketata T. Ben Romdhane S. Ben Ahmed Dept. of Physics and Instrumentation Engineering INSAT: National Institute of Applied Science and Technology Dept. of Physics and Instrumentation Engineering ICOS: Research Unit on Intelligent Control Tunis Tunisia Dept. of Physics and Instrumentation Engineering MOSIC Research Unit on Methods and Tools for Complex Computer Systems Tunis Tunisia

In this paper, two approaches, Hierarchical Fuzzy Signature (HFS) and Neuro-Fuzzy Hierarchical Hybrid (NFHH), have been proposed for piloting a Quality Management System (QMS). These approaches have been applied for real company which presents a major problem for controlling the quality level of production. HFS structure has reduced complexity in the number of input and output meta-levels of hierarchy. Also NFHH model has presented better performance in terms of precision and number of parameters without losing the universal approximation property of neural networks (NN) and fuzzy systems.

关键词： Companies IP networks Production Complexity theory Fuzzy logic Artificial neural networks Pragmatics

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Clock Synchronization for Wireless Sensor Network with Communication Delay

Clock Synchronization for Wireless Sensor Network with Commu...

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American control Conference

作者： Emanuele Garone Andrea Gasparri Francesco Lamonaca Faculty of Applied Science Control and Systems Analysis Department Université Libre de Bruxelles 1050 Brussels Belgium Department of Computer Science and Automation University of "Roma Tre" Via della Vasca Navale 79 00146 Rome Italy Dept. of Electronic Systems and Computer Science University of Calabria Ponte Pietro Bucci 87040 Rende (CS)

ISBN: (纸本)9781479901777

In this work, the clock synchronization problem for wireless sensor networks is addressed. In our scenario, we consider a wireless sensor network where nodes are equipped with a local clock hardware and communicate in order to achieve a common sense of time. This work introduces a novel synchronization algorithm able to ensure a good level of synchronization even in the presence of random bounded communication delays. A theoretical analysis of the robustness of the proposed algorithm is proposed along with simulations to corroborate the theoretical finding.

关键词： Communication Delay clock synchronization theoretical finding

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