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IEEE International Energy Conference and Exhibition (EnergyCon)

作者： Florin Dragomir Otilia Elena Dragomir Eugenia Minca Automation Computer Science and Electrical Engineering Department Electrical Engineering Faculty Valahia University of Targoviste Targoviste Romania

Due to the complexity of modern distributed power generation, a conventional automation system is not always capable to provide sufficient information, so intelligent control approaches are requiring. This paper is concerned with intelligent control technologies applied to distributed power generation network. Precisely it presents a fuzzy controller based control solution, developed with Matlab that allows the implementation of different renewable energy resources (RES) in a distributed power energy network (PD) and ensures a greater stability.

关键词： Generators Batteries Production Monitoring Stability analysis Distributed power generation computer architecture

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Mobile Robot Fault Tolerant Control. Introducing ARTEMIC

Mobile Robot Fault Tolerant Control. Introducing ARTEMIC

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2010 2nd International Conference on Education Technology and computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

作者： Cristian Axenie Daniela Cernega Automation and Industrial Informatics Department Computer Science Faculty from "Dunarea de Jos" Univ Control Systems and Applied Informatics Computer Science Faculty from "Dunarea de Jos" Stiintei Stre

Real-time applications should timely deliver synchronized data-sets, minimize latency in their response and meet their performance specifications in the presence of disturbances and faults. The fault tolerant behavior in mobile robots refers to the possibility to autonomously detect and identify faults as well as the capability to continue operating after a fault occurred. This paper introduces a real-time distributed control application with fault tolerance capabilities for differential wheeled mobile robots, named ARTEMIC. Specific design, development and implementation details will be provided in this paper.

关键词： Mobile Robotics Fault Tolerant Control Sliding Mode EKF Real-Time Linux Distributed Control

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Real Time Control Design for Mobile Robot Fault Tolerant Control. Introducing the ARTEMIC Powered Mobile Robot.

Real Time Control Design for Mobile Robot Fault Tolerant Con...

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2010 IEEE/ASME International Conference on Mechatronic and Embedded System and Applications(2010 IEEE 机电一体化和嵌入式系统与应用国际会议)

作者： Cristian Axenie Razvan Solea Automation and Industrial Informatics Department Computer Science Faculty from ”Dunarea de Jos” Univ Control Systems and Applied Informatics Computer Science Faculty from ”Dunarea de Jos” University St

Real-time applications should timely deliver synchronized data-sets, minimize latency and jitter in their response and meet their performance specifications in the presence of disturbances and faults. The fault tolerant behavior in mobile robots refers to the possibility to autonomously detect and identify faults as well as the capability to continue operating after a fault occurred. This paper introduces a real-time distributed control application with fault tolerance capabilities for differential wheeled mobile robots, named ARTEMIC. The paper focuses on design details and performance analysis at the system operation level. Some stress tests are executed during normal operation to validate the proposal. Specific design, development and implementation details will be provided in this paper.

关键词： Mobile Robotics Fault Tolerant Control Sliding Mode EKF Real-Time Linux Distributed Control

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Sliding-mode Controller for Four-Wheel-Steering Vehicle: Trajectory-Tracking Problem

Sliding-mode Controller for Four-Wheel-Steering Vehicle: Tra...

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The 8th World Congress on Intelligent Control and automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Adrian Filipescu Razvan Solea Silviu Filipescu Bogdan Dumitrascu Department of Automation and Industrial Informatics University “Dunarea de Jos” of Galati Domneasca Master student in Intelligent Control Systems at the Faculty of Computer Science PhD student in Control Systems at the Faculty of Computer Science

A solution to trajectory-tracking control problem for a four-wheel-steering vehicle (4WS) is proposed using sliding-mode approach. The advantage of this controller over current control procedure is that it is applicable to a large class of vehicles with single or double steering and to a tracking velocity that is not necessarily constant. The sliding-mode approach make the solutions robust with respect to errors and disturbances, as demonstrated by the simulation results.

关键词： Wheels Trajectory Kinematics Mobile robots Bicycles

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Real-time detection of road markings for driving assistance applications

Real-time detection of road markings for driving assistance ...

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International Conference on computer Engineering and Systems

作者： Ioana Maria Chira Ancuta Chibulcutean Radu Gabriel Danescu Faculty of Automation and Computer Science Technical University of Cluj Napoca Cluj-Napoca Romania Computer Science Department Technical University of Cluj Napoca Cluj-Napoca Romania

For a Driving Assistance System, which is designed to improve safety on the roads, knowledge about the type of lane border markings and other painted road objects is required. Furthermore, information about the position of the painted objects can be used by other systems to create a correct perception of the road. This paper describes a Lab VIEW based system for detection, measurement and classification of painted objects. The system is able to calibrate monocular video sources, define the features of the painted objects that we look for, and detect them in real time using geometric pattern matching and edge detection. The solution can be easily deployed on a dedicated real-time computing architecture, to be used as a standalone driving assistance sensor.

关键词： Roads Feature extraction Image edge detection Pattern matching Calibration Pixel Object recognition

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Analysis of RFID security and privacy by means of identification and authentication protocols

Analysis of RFID security and privacy by means of identifica...

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International Conference on Computational Cybernetics (ICCC)

作者： Cristina Hurjui Adrian Graur Faculty of Electrical Engineering and Computer Science Department of Computers and Automation Stefan cel Mare University of Suceava Suceava Romania

ISBN: (纸本)9781424474325;9781424474332

When analyzing the Radio Frequency Identification applications, one might think of two essential hierarchies: the structures aiming to offer security to an RFID system and the structures aiming to offer functionality means, with no security issues. One should know precisely the significance of these notions. Radio Frequency Identification represents an advanced wireless technology, which integrates an essential solution within the fields of intelligent chips and automation technologies. In this paper, four protocols based on updating the tags' identifiers by means of RFID readers will be compared, in order to carry out an analysis over the jeopardizing points that threaten the security and privacy of RFID systems. Cryptography signifies a way of creating RFID systems more secure. A chaotic matter is brought into discussion, by the following situations: to find out if it is a protocol of identification or authentication that is necessary, depending on various RFID applications or systems. Such analysis over RFID security has carried out wide thoughts.

关键词： Radiofrequency identification Privacy Authentication Data security computer security automation Application software Cryptographic protocols Cryptography Databases

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A robust hand tracking method with bare hands and its application on human-machine interaction

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Journal of Computational Information Systems 2010年第9期6卷 3023-3031页

作者： Zhang, Shilin Li, Heping Zhang, Shuwu Faculty of Computer Science Network and Information Management Center North China University of Technology Beijing 100141 China Institutes of Automation Chinese Academy of Science Beijing 100191 China

The interaction between man and computer has become an important topic as it can generalize the use of computers, robots and other intelligent machines. For active H/R interaction scheme, the computer needs to detect human faces in its vicinity and then interpret canonical gestures. In this paper, we firstly present a method to track the hands robustly in videos recorded by a camera, and then by compute the similarity of the trajectories of the hands' motion, we can interact with computer by some simple sign languages. An efficient color segmentation on the skin-like colored pixels is used. Then we locate the hands by a fast optic flow method which is computed only by the skin-like image blocks. At the last stage, we get the hand motion trajectory and map it to a string. By String Edit Distance method, we can compute the similarity of the string representing input hand command with some template strings denoting sign language pre-trained and stored in database. We can let the computers or some other machines recognize some simple words like ″UP″, ″DOWN″, ″OK″, ″LEFT″, ″RIGHT″ and etc. Results of tracking and recognition are illustrated in the paper and show the process robustness in cluttered environments and in various light conditions. The limits of the method and future works are also discussed. © 2010 Binary Information Press.

关键词： Palmprint recognition

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Sliding-mode trajectory-tracking control for a four-wheel-steering vehicle

Sliding-mode trajectory-tracking control for a four-wheel-st...

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International Conference on Control and automation (ICCA)

作者： Razvan Solea Adrian Filipescu Viorel Minzu Silviu Filipescu Department of Automation and Industrial Informatics Faculty of Computer Science University Dunarea de Jos of Galati Galati Romania Intelligent Control Systems Faculty of Computer Science University Dunarea de Jos of Galati Galati Romania

ISBN: (纸本)9781424451951

Trajectory-tracking is an important behaviour for mobile robots. This paper addresses the nonlinear sliding-mode trajectory-tracking control problem for a four-wheel-steering vehicle (4WS). The advantage of this controller over current control procedure is that it is applicable to a large class of vehicles with single or double steering and to a tracking velocity that is not necessarily constant. The effectiveness of the proposed control law to trajectory-tracking control is demonstrated by simulation results.

关键词： Sliding mode control Vehicles Robotics and automation Mobile robots Automatic control Service robots Electric variables control Control systems Informatics computer science

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Use of accelerometers for material inner defect detection

Use of accelerometers for material inner defect detection

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作者： Krejcar, Ondrej Frischer, Robert Dept. of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science Ostrava Poruba Czech Republic Dept. of Automation and Computing in Metallurgy VSB Technical University of Ostrava Ostrava Poruba Czech Republic

ISBN: (纸本)9788070438657

This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.

关键词： Accelerometers

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Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions 10

Efficient algorithms for learning kernels from multiple simi...

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Annual Conference on Neural Information Processing Systems

作者： Achintya Kundu Chiranjib Bhattacharyya Vikram Tankasali Aharon Ben-Tal Dept. of Computer Science & Automation Indian Institute of Science Bangalore Faculty of Industrial Engg. & Management Technion - Israel Institute of Technology Haifa

ISBN: (纸本)9781617823800

In this paper we consider the problem of learning an n x n kernel matrix from m(> 1) similarity matrices under general convex loss. Past research have extensively studied the m = 1 case and have derived several algorithms which require sophisticated techniques like ACCP, SOCP, etc. The existing algorithms do not apply if one uses arbitrary losses and often can not handle m > 1 case. We present several provably convergent iterative algorithms, where each iteration requires either an SVM or a Multiple Kernel Learning (MKL) solver for m > 1 case. One of the major contributions of the paper is to extend the well known Mirror Descent(MD) framework to handle Cartesian product of psd matrices. This novel extension leads to an algorithm, called EMKL, which solves the problem in 0(m~2 log n/∈~2) iterations; in each iteration one solves an MKL involving m kernels and m eigen-decomposition of n × n matrices. By suitably defining a restriction on the objective function, a faster version of EMKL is proposed, called REKL, which avoids the eigen-decomposition. An alternative to both EMKL and REKL is also suggested which requires only an SVM solver. Experimental results on real world protein data set involving several similarity matrices illustrate the efficacy of the proposed algorithms.

关键词： similarity matrix algorithms iterative methods Kernel LOSS FUNCTION efficient algorithm Cartesian product Iterative algorithms Learning Convexity

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