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2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010

作者： Fritzen, Paulo Cícero Cardoso Jr., Ghendy Zauk, João Montagner De Morais, Adriano Peres Bezerra, Ubiratan H. Beck, Joaquim A. P. M. Federal Institut of Education Science and Tecnology of Tocantins Campus Palmas IFTO Avenue LO 5 Block AE 310 South Palmas Tocantins 77021-090 Brazil Federal University of Santa Maria Eletrical Engineering Pós-Graduate Program UFSM Avenue Roraima 1000 Santa Maria Rio Grande do Sul 97105-900 Brazil Federal University of Pará Department of Electrical Engineering and Computer Street Augusto Corrêa 01 Guamá 66075-110 Belém Pará Brazil Centrais Elétricas Do Norte Do Brasil S/A Eletronorte Quarter 06 Set A B and Block C Asa Norte 70.716-901 Brasília DF Brazil

ISBN: (纸本)3642121446

This work approaches relative aspects to the alarm processing problem and fault diagnosis in system level, having as purpose filter the alarms generated during a outage and identify the equipment under fault. A methodology was developed using Artificial Neural Networks (ANN) and Genetic Algorithms (GA) in order to resolve the problem. This procedure had as initiative explore the GA capacity to deal with combinatory problems, as well as the ANN processing speed and generalization capacity. Such strategy favors a fast and robust solution. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Neural networks

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Evolving granular classification neural networks

Evolving granular classification neural networks

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2009 International Joint Conference on Neural Networks, IJCNN 2009

作者： Leite, Daniel F. Costa Jr., Pyramo Gomide, Fernando Faculty of Electrical and Computer Engineering University of Campinas Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424435531

The objective of this study is to introduce the concept of evolving granular neural networks (eGNN) and to develop a framework of information granulation and its role in the online design of neural networks. The suggested eGNN are neural models supported by granule-based learning algorithms whose aim is to tackle classification problems in continuously changing environments. eGNN are constructed from streams of data using fast incremental learning algorithms. eGNN models require a relatively small amount of memory to perform classification tasks. Basically, they try to find information occurring in the incoming data using the concept of granules and T-S neurons as basic processing elements. The main characteristics of eGNN models are continuous learning, self-organization, and adaptation to unknown environments. Association rules and parameters can be easily extracted from its structure at any step during the evolving process. The rule base gives a granular description of the behavior of the system in the input space together with the associated classes. To illustrate the effectiveness of the approach, the paper considers the Iris and Wine benchmark problems. © 2009 IEEE.

关键词： Learning algorithms

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Controller design to regulate the DC voltage of a VSC converter

Controller design to regulate the DC voltage of a VSC conver...

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2009 IEEE Electrical Power and Energy Conference, EPEC 2009

作者： Hidalgo Mora, Carlos A. Diaz, Nelson L. Universidad Distrital F.J.C. Bogota Colombia Department of Electrical and Computer Engineering Graduate Program in Engineering - Industrial Automation Universidad Nacional de Colombia Bogota Colombia

ISBN: (纸本)9781424445080

The basic function of VSCs is to convert the DC voltage stored in a capacitor into AC voltages or AC voltages into DC voltage. One of the advantages of the VSC is that this kind of electronic converters allow to control the active and reactive power flow with an ac-grid independently. This paper presents a short analysis of the characteristics and dynamic of VSC-HVDC, identification techniques to find transfer function to DC Voltage and Reactive Power in a rectifier station are explored, and finally controller design to regulate the DC voltage is exposed and tested by simulations using Matlab Simulink and its toolbox SimpowerSystems. ©2009 IEEE.

关键词： Reactive power

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Journal of Computing and Information Science in engineering 2009年第3期9卷 1-5页

作者： Zhang, Jingsheng Smith, Shana Human-Computer Interaction Graduate Program Iowa State University Ames IA 50011 United States Department of Mechanical Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan

To achieve effective 3D shape retrieval, there is a crucial need for efficient shape matching methods. This paper introduces a new method for 3D shape matching, which uses a simplified octree representation of 3D mesh models. The simplified octree representation was developed to improve time and space efficiency over prior representations. The proposed method also stores octree information in extensible markup language format, rather than in a new proprietary data file type, to facilitate comparing models over the Internet. © 2009 by ASME.

关键词： Hypertext systems

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Design-dimensioning model for grid-connected photovoltaic systems

Design-dimensioning model for grid-connected photovoltaic sy...

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2009 IEEE Electrical Power and Energy Conference, EPEC 2009

作者： Hernandez, Johann Diaz, Nelson L. Gordillo, Gerardo Universiudad Nacional de Colombia Bogota Colombia Department of Electrical and Computer Engineering Graduate Program in Engineering - Industrial Automation Universidad Nacional de Colombia Bogota Colombia Universidad Nacional Bogota Colombia

ISBN: (纸本)9781424445080

The main goal in design of grid connected photo voltaic systems is to maximize the energy generation based on local energy requirements, weather conditions, economic and social impact. These factors ought to be taken into account to perform a model that allow design grid-connected photo voltaic systems. In this paper a design-dimensioning model for a small grid-connected photo voltaic systems is developed. This model is based on energy conditions instead of power conditions. There are shown the two main trends that are typically used in the design process and the calculation of the two main components of the system (generator and inverter). An example of the design for a system located in Bogota-Colombia is studied. ©2009 IEEE.

关键词： Design

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System identification of magneto-rheological damper using group method of data handling (GMDH)

System identification of magneto-rheological damper using gr...

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2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009

作者： Assaleh, Khaled Shanableh, Tamer Kheil, Yasmeen Abu Department of Electrical Engineering American University of Sharjah United Arab Emirates Department of Computer Science and Engineering American University of Sharjah United Arab Emirates Mechatronics Graduate Program American University of Sharjah United Arab Emirates

ISBN: (纸本)9781424434817

In this paper Group Method of Data Handling (GMDH) technique is implemented and applied to the system identification problem of a Magneto-Rheological (MR) damper. GMDH networks are used to approximate the forward and inverse dynamic behaviors of a MR damper. The difficulty of this identification problem stems from the inherent hysteretic and highly nonlinear dynamics of MR dampers. The GMDH-based solution exhibits comparable identification accuracy in both the forward and inverse models as compared to state-of-the-art more computationally extensive solutions. © 2009 IEEE.

关键词： Inverse problems

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An agent framework to support sensor networks' setup and adaptation

An agent framework to support sensor networks' setup and ada...

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International Multiconference on computer Science and Information Technology, IMCSIT '09

作者： De Freitas, Edison Pignaton Heimfarth, Tales Ferreira, Armando Morado Wagner, Flávio Rech Pereira, Carlos Eduardo Larsson, Tony IDE Halmstad University Halmstad Sweden Institute of Informatics UFRGS Porto Alegre Brazil Computer Science Department UFLA Lavras Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (纸本)9781424453146

Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenges that must be faced. One important challenge is related to the autonomous capability needed to setup and adapt the networks, which decentralizes the control of the network, saving communication and energy resources. Middleware technology helps in addressing this kind of problem, but there is still a need for additional solutions, particularly considering dynamic changes in users' requirements and operation conditions. This paper presents an agent-based framework acting as an integral part of a middleware to support autonomous setup and adaptation of sensor networks. It adds interoperability among heterogeneous nodes in the network, by means of autonomous behavior and reasoning. These features also address the needs for system setup and adaptations in the network, reducing the communication overhead and decentralizing the decision making mechanism. Additionally, preliminary results are also presented. © 2009 IEEE.

关键词： Middleware

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Fatigue and non-fatigue mathematical muscle models during functional electrical stimulation of paralyzed muscle

Fatigue and non-fatigue mathematical muscle models during fu...

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作者： Cai, Zhijun Bai, Er-Wei Shield, Richard K. Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States Graduate Program in Physical Therapy and Rehabilitation Science University of Iowa Iowa City IA 52242 United States

ISBN: (纸本)9783902661494

Electrical muscle stimulation demonstrates potential for restoring functional movement and for preventing muscle atrophy after spinal cord injury (SCI). To optimize delivery of electrical stimulation protocols, an accurate and easy-to-implement mathematical skeletal muscle model is essential. The existing models are either accurate but complex, making them hard to implement, such as the Hill-Huxley-type model, or simple but inaccurate, such as second order model. In this paper, we propose a Wiener-Hammerstein system to model the paralyzed skeletal muscle dynamics under electrical stimulus conditions. The proposed model has substantial advantages in identification algorithm analysis and implementation including computational complexity and convergence. Experimental data sets were collected on soleus muscles under 15 Hz frequency stimulation for fourteen subjects with SCI. The simulation results show that the proposed model outperforms the Hill-Huxley-type model not only in peak force prediction, but also in fitting performance for force output of each individual stimulation train. © 2009 IFAC.

关键词： Muscle

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Design an empathic virtual human to encourage and persuade learners in e-learning systems

Design an empathic virtual human to encourage and persuade l...

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1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

作者： Wang, Chin-Yeh Chen, Gwo-Dong Liu, Chen-Chung Liu, Baw-Jhiune Taiwan e-Learning and Digital Archives Program Office National Central University Taiwan Department of Computer Science and Information Engineering National Central University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Department of Computer Science and Engineering Yuan-Ze University Taiwan

ISBN: (纸本)9781605587578

Studies indicate that making learners feel good is important only minor to clear knowledge transformation. Many studies have tried to use virtual humans as a part of interface in learning systems to increase the effect of instructions. Based on social interaction and pedagogical theories, many e-learning systems use animated films or virtual reality to boost human-computer engagement and ease their negative emotions. However, affective learning systems still need much research to improve their functionalities and usability. This study proposed a convenient approach to develop an emotionally interactive learning system;learners can express their emotions by mouse-clicking while learning. A virtual human was created to empathically react to learners in proactive and reactive ways to encourage and persuade them into persistent learning and help achieve their goals. Experimental results show that, averagely, subjects can tell virtual human's emotions and agree to its empathic reactions. Persuasion conducted by virtual human could not increase subjects' learning time, but could significantly increase their completion rate of exercises. Copyright 2009 ACM.

关键词： Learning systems

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Simulation of Gravity and Flooding Algorithm for Wireless Sensor Network

Simulation of Gravity and Flooding Algorithm for Wireless Se...

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IEEE Malaysia International Conference on Communications

作者： Karyono Ihan Martoyo Henri P. Uranus Junita Byungho Kim Graduate and Undergraduate Program in Electrical Engineering University of Pelita Harapan Dept. of Computer Engineering Kyungsung University

ISBN: (纸本)9781424455317;9781424455324

Wireless Sensor Network (WSN) is a network of sensors that has a very large scale of nodes with a tight resources limitation. WSN is application specific, with a wide range of applications in military, survey, industrial, up to home usage. The major problems for WSN are resource limitations and dynamic network, which require unique algorithms for unique applications. Our study focused on the implementation and the characterization of the Gravity algorithm, with the Flooding algorithm as a comparison. The Gravity algorithm uses the gravity weight which is stored on each node to form a virtual contour. This contour will guide the message to reach the sink. This work is the first implementation of the Gravity model in OMNeT++. Simulations conducted in the full mesh and the layered topology show that the Gravity algorithm uses less energy and a higher diversity factor compared to the Flooding algorithm. A similar result is also acquired when the probability of failures are considered. The result shows that the Gravity algorithm outperforms the Flooding algorithm while still maintaining the simplicity of the algorithm. This is important to a WSN which is resources limited. Only a small amount of memory is needed for the gravity weight calculation and storage.

关键词： Wireless Sensor Network OMNeT++ Flooding Gravity Routing Algorithm Wireless sensor networks Gravity Flood Routing algorithms WSN gene gravity model algorithms diversity factor Custom design simulating

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