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Structuring the life sciences resourceome for Semantic Systems Biology: Lessons from the biogateway project

Structuring the life sciences resourceome for Semantic Syste...

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Workshop on Semantic Web Applications and Tools for Life sciences, SWAT4LS 2008

作者： Antezana, Erick Blondé, Ward Egaña, Mikel Rutherford, Alistair Stevens, Robert De Baets, Bernard Mironov, Vladimir Kuiper, Martin Dept. of Plant Systems Biology VIB Gent Belgium Dept. of Molecular Genetics Ghent University Belgium School of Computer Science University of Manchester United Kingdom Dept. of Applied Mathematics Biometrics and Process Control Ghent University Belgium Dept. of Biology Norwegian University of Science and Technology Norway

The application of Semantic Web technologies in the life sciences for data integration is still nascent. We have recently built Bio-Gateway, an RDF store that integrates all the candidate OBO Foundry ontologies with other resources such as SWISS-PROT. In the course of developing BioGateway, we faced challenges that are common to other projects that involve large datasets in diverse formats. We present a detailed analysis of the obstacles that had to be solved in creating Bio-Gateway. In doing so, we demonstrate the potential of a comprehensive application of Semantic Web technologies to global biomedical data. The time is ripe for launching a community effort aiming at a wider acceptance and application of Semantic Web technologies in the life sciences domain. We make a public call for the creation of a forum that strives to implement a truly semantic life science foundation of a type of Systems Biology that we named Semantic Systems Biology.

关键词： Data integration

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Optimizing hybrid control trajectories by model abstraction and refinement

Optimizing hybrid control trajectories by model abstraction ...

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作者： Paschedag, Tina Fall, Michael Stursberg, Olaf Institute of Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany Technische Universität München Germany

ISBN: (纸本)9783902661593

Techniques for optimal control of hybrid systems have to consider the complex interaction of continuous and discrete dynamics and are required to limit the computational complexity arising from the corresponding search spaces. This contribution proposes an approach to computing hybrid optimal control trajectories based on an iterative model-abstraction and refinement scheme. The hybrid automaton is mapped to an abstract representation which is enriched by cost information gained from graph. Candidate solutions are computed on the abstract level and are mapped back to the level of the hybrid model, where they are validated. A refinement step guides the search for (sub-) optimal hybrid control trajectories. The proposed approach is implemented for the optimization of the start-up procedure for a chemical reactor.

关键词： Hybrid systems

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Novel Emotion Engine for Robot and Its Parameter Tuning by Bacterial Foraging

Novel Emotion Engine for Robot and Its Parameter Tuning by B...

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5th International Symposium on Applied Computational Intelligence and Informatics

作者： Kim, Dong-Hwa Nair, Shivashankar B. Dept. of Instrumentation and Control Eng. Hanbat National University Daejeon City South Korea Department of Computer Science and Engineering Indian Institute of Technology Guwahati Guwahati India

ISBN: (纸本)9781424444779

In this paper, we propose the novel emotional engine like human's emotion and its parameter tuning using by hybrid system bacterial foraging (BF) and agent machine learning. The most general method uses neural networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning of neural network. The main idea of the proposed method is to suggest emotion engine and to express emotion by hybrid system composed of bacterial foraging and multi-agent system. Experimental result shows that this method can achieve better performance for human's emotion recognition than others and express emotion.

关键词： Hybrid systems

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EMWF for flexible automation and assistive devices

EMWF for flexible automation and assistive devices

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15th IEEE Real-Time and Embedded Technology and Application Symposium, RTAS 2009

作者： Chou, T.S. Wang, Y.C. Liu, J.W.S. Chang, S.Y. Lu, Y.F. Ouyang, M.K. Kuo, T.W. Shih, C.S. Hu, J.S. Institute of Information Science Academia Sinica Taiwan Dept. of Computer Science and Information Engineering National Taiwan University Taiwan Department of Electrical and Control Engineering National Chiao-Tung University Taiwan

ISBN: (纸本)9780769536361

This paper describes an embedded workflow framework (EMWF) that enables flexible personal and home automation and assistive devices and service and social robots (collectively referred to as SISARL) to be built on workflow architecture. The process definition language supported by EMWF is called SISARL-XPDL. It consists of a subset of the WfMC standard XML Process Definition Language (XPDL) 2.0, together with elements that implement common mechanisms for robot behavior coordination. EMWF provides workflow engines for Linux and Windows CE platforms. The engines are written in C in order to keep their memory footprint and runtime overhead small. Performance data show that the overheads introduced by the engine and workflow data are tolerable for most SISARL devices. © 2009 IEEE.

关键词： Engines

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Real-time vision-based multiple vehicle detection and tracking for nighttime traffic surveillance

Real-time vision-based multiple vehicle detection and tracki...

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2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009

作者： Chen, Yen-Lin Wu, Bing-Fei Fan, Chung-Jui Dept. of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9781424427949

This study presents an effective system for detecting and tracking moving vehicles in nighttime traffic scene for traffic surveillance. The proposed method identifies vehicles based on detecting and locating vehicle headlights and taillights by using the techniques of image segmentation and pattern analysis. First, to effectively extract bright objects of interest, a fast bright-object segmentation process based on automatic multilevel histogram thresholding is applied on the nighttime road-scene images. This automatic multilevel thresholding approach can provide robustness and adaptability for the detection system to be operated well under various illumination conditions at night. The extracted bright objects are processed by a spatial clustering and tracking procedure by locating and analyzing the spatial and temporal features of vehicle light patterns, and then identifying and classifying the moving cars and motorbikes in the traffic scenes. Experimental results demonstrate that the proposed approach is feasible and effective for vehicle detection and identification in various nighttime environments for traffic surveillance. ©2009 IEEE.

关键词： Vehicles

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Implementation of the hybrid fingerprint verification

Implementation of the hybrid fingerprint verification

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2009 2nd International Conference on computer science and Its Applications, CSA 2009

作者： Chae, Seung-Hoon Lim, Sung Jin Chung, Yongwha Pan, Sung Bum Dept. of Information and Communication Engineering Chosun Univ. Gwangju Korea Republic of Dept. of Computer and Information Science Korea Univ. Sejong Campus Chungnam Korea Republic of Dept. of Control Instrumentation and Robot Engineering Chosun Univ. Gwangju Korea Republic of

ISBN: (纸本)9781424449460

In contemporary society, access to information is easy because of advanced communication media, so security system which prevent unauthorized access is considered important. Fingerprint verification systems are very convenient and secure. Minutiae-based fingerprint verification is widely used in fingerprint verification. However, existing systems can cause errors according to size and quality of fingerprint images that are read only with a use of minutiae. Due to such errors, the users who have no authority of access are allowed to use the information, which is a problem. This paper proposes hybrid fingerprint verification methods of two kinds to improve performance of minutiae-based fingerprint verification. One is method using fingerprint binary image, and another is method using ridge-information. The result which experiments two kind methods, we confirm to improved performance of fingerprint verification than when only minutiae-based verification was used. © 2009 IEEE.

关键词： Binary images

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Comparing learning attention control in perceptual and decision space

Comparing learning attention control in perceptual and decis...

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5th International Workshop on Attention in Cognitive Systems, WAPCV 2008

作者： Mirian, Maryam S. Nili Ahmadabadi, Majid Araabi, Babak N. Siegwart, Ronald R. Control and Intelligent Processing Centre of Excellence Dept. of Electrical and Computer Eng. University of Tehran Iran School of Cognitive Science IPM Tehran Iran ASL ETHZ Switzerland

The first question answered in this paper is whether or not learning attention control in the decision space is feasible and how to develop an online as well as interactive learning approach for such control in this space, in case of feasibility. Here, decision space is formed by the decision vector of the agents each has allowed to dynamically observe just a subset of all available sensors. Attention control in this new space means active and dynamic selection of these decision agents to contribute in making final decision. The second debate is verifying the advantages of attention control in decision space over that in perceptual space. According to the tight coupling of attention control and motor action selection, in order to answer above mentioned questions, attention control and motor action selection are formulated in a unified optimization problem and reinforcement learning is utilized to solve it. In addition to the theoretic comparison of learning attention control in perceptual and decision space in terms of computational complexity, two proposed approaches are tested on a simple traffic sign recognition task. © 2009 Springer Berlin Heidelberg.

关键词： Reinforcement learning

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Robust Model Predictive control of continuous-time sampled-data nonlinear systems with Integral Sliding Mode

Robust Model Predictive Control of continuous-time sampled-d...

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European control Conference (ECC)

作者： M. Rubagotti D.M. Raimondo A. Ferrara L. Magni Dept. of Computer Engineering and Systems Science University of Pavia Pavia Italy Automatic Control Laboratory Swiss Federal Institute of Technology Zürich Switzerland

A hierarchical Nonlinear Model Predictive control (NMPC) scheme with guaranteed Input-to-State-practical-Stability (ISpS) is proposed. The controller is formed by an Integral Sliding Mode (ISM) controller and a NMPC one. The ISM, relying on the knowledge of the nominal continuous-time model of the system and of the piecewise constant control signal generated by the NMPC produces a control action aimed at reducing the difference between the dynamics of the nominal closed-loop system and the actual evolution of the state. The NMPC in this way can be designed based on a system with reduced uncertainty. In order to prove the stability of the overall control scheme, some general Regional ISpS results for continuous-time systems are proven.

关键词： Robustness Closed loop systems Uncertainty Stability analysis Economic indicators Manifolds Predictive control

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Environmental surface boundary tracking and description using a UAV with vision

Environmental surface boundary tracking and description usin...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Pablo Lanillos José J. Ruz Gonzalo Pajares Jesus M. de la Cruz Dept. of Computer Architecture and Automatic Control Complutense University Madrid Spain Dept. of Software Engineering and Artificial Intelligence Complutense University Madrid Spain

This work presents a strategy to track and describe the boundary of an environmental surface using a sequence of incomplete boundary images coming from an UAV with a camera onboard. The algorithm uses all captured images to feed the trajectory, which drives the UAV towards the next point to take the next shot, until the identification is completed. The multiple patterns of the input image make the problem difficult. Our approach orders the points of the image to identify the existent edges, and computes the trajectory as a minimization problem using a multi-objective function that gathers information about the boundary and the polynomial that fit in these edges.

关键词： Unmanned aerial vehicles Cameras Data mining Shape Monitoring Spline Image sensors Fires Surveillance computer architecture

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An Analytical Design of Fractional Order Proportional Integral and [Proportional Integral] controllers for Robust Velocity Servo

An Analytical Design of Fractional Order Proportional Integr...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： ChunYang Wang Ying Luo YangQuan Chen Dept. of Electronics and Information Engineering Changchun University of Science and Technology Dept. of Automatic Science and Engineering South China University Dept. of Electrical and Computer Engineering Utah State University

ISBN: (纸本)9781424427994

In this paper, two tuning methods of Fractional Order Proportional Integral (FOPI) controller and Fractional Order [Proportional Integral] (FO[PI]) controller for the typical first-order velocity servo system are discussed. Using the Integer Order Proportional, Integral and Derivative (IOPID) controller, the controller can not be designed to follow the proposed tuning idea to achieve the robustness requirement. However, the FOPI and FO[PI] controllers designed by the proposed tuning methods can improve the performance and robustness of the first order velocity servo system. Furthermore, following the proposed systematic and analytical design schemes, the FO[PI] controller outperforms the FOPI controller. Simulation results are presented to validate the proposed tuning methods.

关键词： Fractional Order Proportional Integral (FOPI) controller Fractional Order [Proportional Integral](FO[PI]) controller Integer Order PID (IOPID)controller First-Order Velocity Servo Plant Robustness Fractional Order Calculus

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