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Composition of united multiple diseases evolution topological model

Composition of united multiple diseases evolution topologica...

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International Symposium on Intelligent Systems and Informatics (SISY)

作者： I. Karpičs Z. Markovičs I. Markoviča Institute of computer control automation and computer engineering Faculty of computer science and information technology Riga Technical University Riga Latvia

Mathematical models are constructed and used as a methodology of various functioning systems structure investigation and performance analysis. The main goal of mathematical model usage is to perform wholesome diagnostics and correct work resumption of investigated system. In the article topological modeling method has been investigated by giving fundamental basics and application spheres by examples. Authors propose model construction method with an example from medicine by creating multiple diseases (arterial hypertension, atherosclerosis and diabetes mellitus) evolution topological model with formal aspects. Developed modeling method and united diseases model can be used to prognosticate evolution of diseases, perform inspection of used therapies and provide information for optimal therapy complex selection.

关键词： Mathematical model Medical treatment Diseases Organisms Medical diagnostic imaging Predictive models Numerical models

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Driving behavior inference from traffic surveillance data

Driving behavior inference from traffic surveillance data

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International Conference on Intelligent Transportation

作者： Kai Zhou Karthik Mahesh Varadarajan Markus Vincze Fuqiang Liu Automation and Control Institute Vienna University of Technology Vienna Austria School of Electronics and Information Engineering Tongji University Shanghai China

Autonomous extraction of information from traffic video surveillance has received widespread attention in recent years due to the capability of analyzing massive data persistently. In this paper, we present a system for extracting vehicle information from traffic video sequence build a framework for defining driver behavior models. We detect the sedans and split them into two categories - taxi and otherwise, according to the color and size. The labeled cars from two categories form two exemplars of driver behavior - professional and standard. We use these two exemplars to compute the unknown parameters of the Hidden Markov Model (HMM) and demonstrate the quantitative discrimination of these two categories, which can be used for many applications of intelligent transportation system, such as abnormality detection and transportation planning. We also demonstrate applications which utilize the proposed model to detect aggressive drivers and professional drivers. The system is extensible with large surveillance databases for automated detection of driver behavior and states in-situ for a variety of traffic event models. Furthermore, statistical information on driver behavior of different vehicle types, demographics and time periods for various locations of interest can be obtained by off-line processing of the surveillance data using the proposed model. The proposed framework can further be integrated with automated surveillance systems for guiding traffic controllers as well as city planners in better management of traffic.

关键词： Vehicles Hidden Markov models Surveillance Data models Roads Mathematical model Analytical models

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Development and evaluation of normal performance recovery method of a functional system

Development and evaluation of normal performance recovery me...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： I. Karpics Z. Markovics Faculty of Computer Science and Information Technology Institute of Computer Control Automation and Computer Engineering Riga Technical University Riga Latvia

Different type dynamic systems in functional work phase lose performance and it's necessary to establish normal operation level by using external influence. External influence can be defined as recovery method. In practice exists different possibilities how to resume performance of system and the main objective is to select the most efficient solution. In the article new approach for normal operation recovery selection is defined, including each recovery and recoveries complex assessment for optimal solution selection. For optimal solution choice benefit and disadvantage criteria are proposed. For practical implementation in case of medicine, arterial hypertension evaluation and pathogenesis therapy selection is described.

关键词： Medical treatment Mathematical model Organisms Medical diagnostic imaging Hypertension Optimization Decision making

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Strength finite element analysis of 130t liquid iron tank lifting lug

Strength finite element analysis of 130t liquid iron tank li...

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International Conference on Mechanic automation and control engineering (MACE)

作者： Hongyu Liu Junqing Liu School of Mechanical Engineering and Automation Liaoning University of Science and Technology Anshan China Department of Automatic Control Shenyang Institute of Engineering Shenyang Liaoning China

As a kind of large metallurgy equipment, liquid iron tank was used more widely. This paper took 130t liquid iron tank as an example. Three dimensions solid model of liquid iron tank lifting lug was constructed by ANSYS software in this paper. Grid division, restriction, load and strength finite element analysis were also made on relevant computation model. The relevant equivalent stress distribution rule of liquid iron tank lifting lug was found. The position of maximum equivalent stress was found. Liquid iron tank lifting lug can satisfy the use demand under slow lifting up working condition was proved. This analysis provides a practical and effective research method for research the strength and reliability of liquid iron tank. It also provides a theory base for corporation to recast and design liquid iron tank.

关键词： Iron Computational modeling Finite element methods Stress Employee welfare Analytical models Solid modeling

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Robust Model Matching for Geometric Fault Detection Filters

Robust Model Matching for Geometric Fault Detection Filters

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American control Conference

作者： Peter Seiler Jozsef Bokor Balint Vanek Gary J. Balas Aerospace and Engineering Mechanics Department University of Minnesota Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences

ISBN: (纸本)9781457700811

Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robust model matching method to incorporate model uncertainty into the design of geometric fault detection filters. Several existing methods for robust filter synthesis are described to solve the robust model matching problem. It is then shown that the robust model matching problem has an interesting self-optimality property for multiplicative input uncertainty models. Finally, a simple example is presented to study the effect of parametric uncertainty and unmodeled dynamics on the performance of a geometric filter.

关键词： Robustness Uncertainty Mathematical model Fault detection Computational modeling Equations Linear matrix inequalities

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Study on Generalized Evaluation of Product Quality Based on Integrated Neural Networks

Study on Generalized Evaluation of Product Quality Based on ...

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International Conference on Measuring Technology and Mechatronics automation, ICMTMA

作者： Yuegang Luo Bin Wu Xiaopeng Li Bangchun Wen Research Institute of Mechanism Electron and Control Engineering Dalian Nationalities University Dalian China School of Mechanical Engineering and Automation Northeastern University Shenyang China

ISBN: (纸本)9781424490103

Multi-layer integrated neural networks evaluation model of synthesis quality of the products is founded based on the information fusion theory. Quality of the products are synthetically evaluated using this model, moreover design method is also evaluated and verified, judgment of product performance and grade, as well as performance difference of the products in structural performance, service behavior and processing property. Scientific decision basis for evaluating and improving overall quality of the products is offered.

关键词： Artificial neural networks Decision making Economics Reliability Mechanical products Materials

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A reentry trajectory planning based on the optimization of angle of attack

A reentry trajectory planning based on the optimization of a...

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1st International Conference on Instrumentation and Measurement, Computer, Communication and control, IMCCC2011

作者： Yang, Zhuo Zhang, Qingzhen Tao, Xiaoqiang School of Automation Science and Electrical Engineering BeiHang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9780769545196

According to the strict aerodynamic heating environment in the reentry process, a new reentry trajectory planning method is presented. A reasonable Heat Flux Rate (HFR) curve is designed with the energy of the aircraft, and the real-time instruction of the Angle of Attack (AOA) is decoded. Then, the flight corridor is planned by the multi-constraint conditions. After that, the flight trajectory could be optimized through applying the pseudo-spectral method. At last, the simulation experiment under Matlab is carried out with an example lifting flight. The results show that the aircraft's total heat absorption (THA), which got through the new planning method, is smaller than that by the traditional method. © 2011 IEEE.

关键词： Angle of attack

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An Artificial Immune Pattern Recognition Approach for Damage Classification in Structures

An Artificial Immune Pattern Recognition Approach for Damage...

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The second International Conference of Electrical and Electronics engineering(ICEEE 2011)

作者： Yue Zhou Shi Tang Chuanzhi Zang Rui Zhou Faculty of Information and Control Engineering Shenyang Jianzhu University No.3 Laboratory Shenyang Institute of Automation Chinese Academy of Sciendes

Structural Health Monitoring(SHM) is one of the research topics that have received growing interest in research communitiesWhile a lot of efforts have been made in detecting damages in structures, very few researches have been conducted for the structure damage classification problemThis paper presents an artificial immune pattern recognition(AIPR) approach for the damage classification in structuresAn AIPR-based Structure Damage Classifier(AIPR-SDC) has been developed, which incorporates several novel characteristics of the natural immune systemThe immune learning algorithm can remember various data patterns by generating a set of memory cells that contain representative feature vectors for each pattern, which are extracted from the compressed data using the auto regression exogenous(ARX) algorithmThe AIPR-SDC approach has been tested using a benchmark structure proposed by the IASC-ASCE Structural Health Monitoring Task GroupThe test results show the feasibility of using the AIPR-SDC method for the structure damage classification.

关键词： Structural Health Monitoring Artificial Immune Pattern Recognition Auto Regression Exogenous(ARX) Algorithm Structure Damage Classification

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Virtual nano-hand: A stable pushing strategy in AFM based sensorless nanomanipulation

Virtual nano-hand: A stable pushing strategy in AFM based se...

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2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Wang, Zhiyu Liu, Lianqing Hou, Jing Wang, Zhidong Yuan, Shuai Dong, Zaili State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Dept. of Advanced Robotics Chiba Institute of Technology Chiba Japan Faculty of Electrical and Control Engineering Liaoning Technical University Huludao 125105 China Graduate School of Chinese Academy of Sciences Beijing 100001 China College of Information Science and Engineering Northeastern University Shenyang 110004 China

ISBN: (纸本)9781457721373

One of the prerequisites for AFM based nanomanipulation is that the position of the target nanoparticle can be stable controlled within a known area, while this prerequisite is still hindered by the uncertainties including the initial position of the nanoparticle and of the AFM tip, together with the uncertain forces from the substrate and so on. In this paper, a Stochastic Pushing (SP) model and a Stable Pushing Strategy are proposed respectively, which can push the nanoparticle into a bounded target area within a given probability. Simulations and experiment based on the proposed SP model demonstrate the validity of the Stable Pushing Strategy. © 2011 IEEE.

关键词： Nanoparticles

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A hybrid approach of virtual force and A∗ search algorithm for UAV path re-planning

A hybrid approach of virtual force and A∗ search algorithm ...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Zhuoning Dong Zongji Chen Rui Zhou Rulin Zhang School of Automation Science and Electrical Engineering Beihang University Beijing China Flight Automatic Control Research Institute Xi'an China

This article is concerned with the UAV path re-planning problem to be solved by using a novel approach based on the hybrid of virtual force and A* search algorithm (HVFA). The formulation of the UAV path re-planning is presented, and the hybrid system model of virtual force (VF) is given. The scheme of path re-planning is designed and the corresponding computational complexity is analyzed quantitatively. Simulation results prove the feasibility and usefulness of using HVFA for UAV path re-planning. Performance comparisons between the HVFA method and the fuzzy virtual force (FVF) method demonstrate that the proposed approach is fast enough to meet the real-time requirements of the online path planning problems.

关键词： Path planning Planning Force Real time systems Computational complexity Algorithm design and analysis Simulation

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