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Research and prospect of multimedia information data mining

Recent Patents on computer Science 2017年第1期10卷 25-33页

作者： Hou, Yan Guo, Huiling Nevin, Nigel School of Computer Science and Technology Zhoukou Normal University ZhouKou China Faculty of Information Engineering and Automation Kunming University of Science and Technology KunMing China California University of Management CA United States

Background: In the increasingly large scale of the current multimedia information database, as described in various patents, big data technology is becoming more and more mature, and the problem of massive multimedia data mining is becoming more and more important. Method: In order to solve these problems through the analysis of the status for multimedia data mining, the general system structure in the application of multimedia information mining technology is analyzed, and the different methods and principles of text mining, image mining, video mining, web data mining in multimedia information data mining are made detailed analysis and the advantage and disadvantages are contrasted. Through the design of different experiments, the effectiveness and inferior of different methods are verified. Result: In the improved algorithm, the mining result of the multimedia text data based on correlation analysis is very different from the actual multimedia text data, the result is closer to the original mining image result, so this method is more practical. Conclusion: Through the summary and discussion on the problems existed in the current method, the faced challenges of multimedia information data mining technology are pointed out, to lay the foundation for the further development of the related technology. © 2017 Bentham Science Publishers.

关键词： Data mining

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The Real-time Constraint Semantics of Events-driven State Transition for Embedded Control Systems 29

The Real-time Constraint Semantics of Events-driven State Tr...

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第29届中国控制与决策会议

作者： Zhang Jing Chen Yao Sun Jun Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

In this paper,we study the process of physical state transition in the embedded *** key to dramatically increase the efficiency of system is important to meet the deadline and the quality of task process for actors which were released the real-time events and were driven to transfer the state of the *** address these two goals at the same time,we defined a real-time events label of the value constraint and clock constraint conditions,and established a super dense time model contained constraint *** on partial order model to simulate the state time sequence order,we proposed a real-time semantics of the state transition for embedded control *** embedded system state transition constraint while supporting the value constraint was proposed,and this model validation under the clock constraint of events,was ensured real-time operation in the process of execution sequence what has a certain event and *** example of laser gyroscope blocking threshold test system is performed to evaluate the performance of the feedback controller in-depth research which has the effect of value constraint for the state transition of systems.

关键词： Embedded control Real-time events label State transition Constraint conditions Execution sequence

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The Research on Real-time Fault Diagnostic Method of Engine Embedded by GA Optimization and BP Neural Networks 29

The Research on Real-time Fault Diagnostic Method of Engine ...

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第29届中国控制与决策会议

作者： Zhang Jing Fu Xin Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

Embedded system real time measurement and representation method is widely used in industrial CPS control system application,such as engine fault *** malfunction diagnostic methods,which filter the changes in measurable parameters through Kalman filter and then map them to changes in performance parameters of the engine via neural network,have the weaknesses in that the neural network has a slow convergence rate and the optimum is prone to local ***,proposes an approach using genetic algorithm,which stands out in finding global optimum,to refine BP neural *** approach uses global optimum to refine the initial and threshold values of the neural network,decreasing the times of neural network trainings,and thus reducing the training error and lowering the time of *** simulation shows that the approach is feasible,improves the real-timing and error precision of malfunction diagnosis,and therefore is highly valuable in applications.

关键词： Back Propagation neural network genetic algorithm real-time fault diagnosis embedded aeroengines

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Control of multi-channel multiphase queuing system based on optimal aggregation methodology

Control of multi-channel multiphase queuing system based on ...

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International Scientific and Technical Conference on computer Science and Information Technologies

作者： Taisa Borovska Inna Vernigora Irina Kolesnyk Andriy Kushnir Department of Computer Control Systems (CCS) Vinnytsia National Technical University Vinnytsia Ukraine Department of Computer Engineering (CE) Vinnytsia National Technical University Vinnytsia Ukraine Faculty of Computer Systems and Automation Vinnytsia National Technical University Vinnytsia Ukraine

The control systems of multi-channel multiphase queuing systems are considered. The control system is based on the methodology of optimal aggregation, therefore there are no restrictions on the form of the functions "costs, output" and probability distribution functions. The methods of optimal aggregation solve the optimization problem for continuous, discrete and integer functions of the class "costs, output". Processes for servicing the flow of objects has two modes: the absence and presence of queues. Software modules for analyzing and predicting of the requirements flow, optimal service in the presence and absence of queues are developed.

关键词： Service Queue Optimal aggregation Costs Output Probabilities distribution

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Lyapunov-Function-Based Control Approach for Three-Level Four-Leg Shunt Active Power Filters with Nonlinear and Unbalanced Loads

Lyapunov-Function-Based Control Approach for Three-Level Fou...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： S. Sajjad Seyedalipour Sertac Bayhan Hasan Komurcugil Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Department of Electronics and Automation Gazi University Ankara Turkey Department of Computer Engineering' Eastern Mediterranean University Turkey

This paper presents a control method for three-level four-leg shunt active power filters (SAPFs) based on Lyapunov's stability theory. The dynamic equations of the SAPF will be achieved and then transformed into the dq0 frame. By considering the nonlinearity of the obtained equations, the Lyapunov technique is used in order to find a solution to enhance the system stability. The design in this approach is to define an energy function in terms of the system states and after that ascertain the control rule that makes the considered function derivative always negative under all conditions. By the use of the proposed method and determining the appropriate reference currents, the SAPF provides compensation for reactive, harmonic, neutral and unbalanced current components generated by grid-connected loads. The accuracy of the proposed control approach is validated via MATLAB/Simulink software.

关键词： Active filters Harmonic analysis Power harmonic filters Power system stability Reactive power Lyapunov methods Asymptotic stability

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Forecasting time series for power consumption data in different buildings using the fractional brownian motion

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International Journal of Circuits, Systems and Signal Processing 2018年 12卷 646-652页

作者： Bondarenko, Valeria Filipova-Petrakieva, Simona K. Taralova, Ina Andreev, Desislav University of Beira Covilha Portugal Technical University of Sofia Department "Theory of Electrical Engineering" Faculty of Automation Sofia Bulgaria Laboratoire des Sciences du Numerique de Nantes Ecole Centrale de Nantes Nantes France Technical University of Sofia Department "Computer Science" Faculty of Computer systems and Technologies Sofia Bulgaria

In the present paper will be discussed the problem related to the individual household electric power consumption of objects in different areas – industry, farmers, banks, hospitals, theaters, hostels, supermarkets, universities. The main goal of the directed research is to estimate the active P and full S power consumptions for all studied buildings. The defined goal is achieved by solving of the following three problems. The first problem studies which buildings increase their power consumption. The second one finds which objects have the greatest increase of power consumption. And the third problem regards if it is possible to make a short-term forecast, based on the solutions of previous two problems. The present research and solving of the aforementioned problems is conducted using fractional Brownian motion theory. The applicability of this approach is illustrated on the example with 20 real objects in different areas. The paper ends with conclusion notes about possibilities to make short-term forecasts about power consumption of the considered buildings. © 2018, North Atlantic University Union. All rights reserved.

关键词： Electric power utilization

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Comparison and analysis of bearingless permanent magnet synchronous motor with different magnetized rotor

Comparison and analysis of bearingless permanent magnet sync...

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2017 IEEE International Magnetics Conference, INTERMAG 2017

作者： Tao, Z. Faculty of Automation Huaiyin Institute of Technology Huaian China School of Electrical and Computer Engineering Royal Melbourne Institute of Technology Melbourne Australia

Bearingless permanent magnet synchronous motor (BPMSM) has attracted considerable interests because of small size and lightweight, high power factor and high efficiency, and no need excitation current. © 2017 IEEE.

ISBN: (纸本)9781538610862

关键词： Permanent magnets

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Implementation of particle filters for mobile robot localization 22

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22nd International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Chaos, Bayesian Methods, Intelligent Image Processing, Bio-Inspired Robotics, MENDEL 2016

作者： Růžička, Michal Mašek, Petr Věchet, Stanislav Faculty of Mechanical Engineering Institute of Automation and Computer Science Brno University of Technology Technická 2896/2616 69 Brno Czech Republic

ISBN: (纸本)9783319580876

This paper deals with mobile robot localization purpose. The presented solution is designed for indoor environment only. GPS navigation system cannot be used in environment inside of buildings. Alternative methods have to be used for this purpose. The mobile robot localization is essential part of autonomous mobile robotics. Mobile robot localization together with odometry is necessary for mobile robot navigation. Presented paper contains explanation of localization approach, which is based on probabilistic method. Next part of this paper is description of experimental odometry method, which is based on computer vision. © Springer International Publishing AG 2017.

关键词： Mobile robots

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Robust medical instrument segmentation challenge 2019

arXiv

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arXiv 2020年

作者： Roβ, Tobias Reinke, Annika Full, Peter M. Wagner, Martin Kenngott, Hannes Apitz, Martin Hempe, Hellena Filimon, Diana Mindroc Scholz, Patrick Tran, Thuy Nuong Bruno, Pierangela Arbelaéz, Pablo Bian, Gui-Bin Bodenstedt, Sebastian Bolmgren, Jon Lindström Bravo-Sánchez, Laura Chen, Hua-Bin González, Cristina Guo, Dong Halvorsen, Pål Heng, Pheng-Ann Hosgor, Enes Hou, Zeng-Guang Isensee, Fabian Jha, Debesh Jiang, Tingting Kirtac, Kadir Jin, Yueming Kletz, Sabrina Leger, Stefan Li, Zhixuan Maier-Hein, Klaus H. Ni, Zhen-Liang Riegler, Michael A. Schoeffmann, Klaus Shi, Ruohua Speidel, Stefanie Stenze, Michael Twick, Isabell Wang, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Zhang, Yujie Zhou, Yan-Jie Zhu, Lei Wiesenfarth, Manuel Kopp-Schneider, Annette Müller-Stich, Beat P. Maier-Hein, Lena Heidelberg Germany University of Heidelberg Germany Heidelberg Germany Department of General Heidelberg University Hospital Visceral and Transplant Surgery Heidelberg Germany caresyntax Berlin Germany University of Chinese Academy Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China SimulaMet Oslo Norway Tromsø Norway Oslo Norway School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Partner Site Dresden Heidelberg Germany Faculty of Medicine and University Hospital Carl Gustav Carus Technische Universität Dresden Dresden Germany Dresden Germany Universidad de Los Andes Bogotá Colombia Peking University Peking China Department of Computer Science School of Informatics Xiamen University Xiamen China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong German Cancer Research Center Division of Biostatistics Heidelberg Germany Institute of Information Technology Klagenfurt University Austria

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and roboticassisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, the reliable performance of state-of-the-art methods when run on challenging images (e.g. in the presence of blood, smoke or motion artifacts). Secondly, generalization;algorithms trained for a specific intervention in a specific hospital should generalize to other interventions or institutions. In an effort to promote solutions for these limitations, we organized the Robust Medical Instrument Segmentation (ROBUST-MIS) challenge as an international benchmarking competition with a specific focus on the robustness and generalization capabilities of algorithms. For the first time in the field of endoscopic image processing, our challenge included a task on binary segmentation and also addressed multi-instance detection and segmentation. The challenge was based on a surgical data set comprising 10,040 annotated images acquired from a total of 30 surgical procedures from three different types of surgery. The validation of the competing methods for the three tasks (binary segmentation, multi-instance detection and multi-instance segmentation) was performed in three different stages with an increasing domain gap between the training and the test data. The results confirm the initial hypothesis, namely that algorithm performance degrades with an increasing domain gap. While the average detection and segmentation quality of the best-performing algorithms is high, future research should concentrate on detection and segmentation of small, crossing, moving and transparent instrument(s) (parts). Copyright © 2020, The Authors. All rights reserved.

关键词： Endoscopy

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Design of linear quadratic regulator (LQR) based on genetic algorithm for inverted pendulum 23

Design of linear quadratic regulator (LQR) based on genetic ...

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23rd International Conference on Soft Computing, MENDEL 2017

作者： Marada, Tomáš Matoušek, Radomil Zuth, Daniel Brno University of Technology Faculty of Mechanical Engineering Institute of Automation and Computer Science Technicka 2896/2 Brno616 69 Czech Republic

One of the crucial problems in the dynamics and automatic control theory is balancing of an inverted pendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for difierent method comparison. In the practical use of the LQR method, the key problem is how to choose weight matrices Q and R correctly. To obtain satisfying results the experiments should be repeated many times with difierent parameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) technique for getting better results. In our paper, the LQR parameters weight matrices Q and R which were tuned using the Genetic Algorithm. The simulations of the control problem are designed using MATLAB script code and MATLAB Simulink on an inverted pendulum model. The results show that the Genetic Algorithm is suitable for tuning the parameters to give an optimal response. The control problem of the inverted pendulum was solved successfully. © 2017 Brno University of Technology. All rights reserved.

关键词： Genetic algorithms

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