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作者： Brezina, Tomas Kovar, Jiri Hejc, Tomas Faculty of Mechanical Engineering Brno University of Technology Institute of Automation and Computer Science Czech Republic

ISBN: (纸本)9788080754778

The present paper deals with control of system consists surge tank, pump a and pipeline. Model of this system is based on hydro-electrical analogy. For purpose of control it is designed a regulator with estimator. Regulator is developed by pole-placement method. Numerical solutions of this model are presented at the end of this article. © 2011 Univ of Trencin.

关键词： Pipelines

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A New Fuzzy Adaptive Algorithm to Classify Imbalanced Data

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computers, Materials & Continua 2022年第1期70卷 73-89页

作者： Harshita Patel Dharmendra Singh Rajput Ovidiu Petru Stan Liviu Cristian Miclea School of Information Technology&Engineering Vellore Institute of TechnologyVellore632014India Technical University of Cluj Napoca Faculty of Automation and Computer ScienceCluj Napoca400114Romania

Classification of imbalanced data is a well explored issue in the data mining and machine learning community where one class representation is overwhelmed by other *** Imbalanced distribution of data is a natural occurrence in real world datasets,so needed to be dealt with carefully to get important *** case of imbalance in data sets,traditional classifiers have to sacrifice their performances,therefore lead to *** paper suggests a weighted nearest neighbor approach in a fuzzy manner to deal with this *** have adapted the‘existing algorithm modification solution’to learn from imbalanced datasets that classify data without manipulating the natural distribution of data unlike the other popular data balancing *** K nearest neighbor is a non-parametric classification method that is mostly used in machine learning *** classification with the nearest neighbor clears the belonging of an instance to classes and optimal weights with improved nearest neighbor concept helping to correctly classify imbalanced *** proposed hybrid approach takes care of imbalance nature of data and reduces the inaccuracies appear in applications of original and traditional *** show that it performs well over the existing fuzzy nearest neighbor and weighted neighbor strategies for imbalanced learning.

关键词： Machine learning fuzzy classification nearest neighbor adaptive approach optimal weights

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Discovering admissible Web services with uncertain QoS

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Frontiers of computer Science 2015年第2期9卷 265-279页

作者： Xiaodong FU Kun YUE Li LIU Ping ZOU Yong FENG Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China School of Information Science and Engineering Yunnan University Kunming 650091 China Faculty of Management and Economics Kunming University of Science and Technology Kunming 650093 China

Open and dynamic environments lead to inher- ent uncertainty of Web service QoS （Quality of Service）, and the QoS-aware service selection problem can be looked upon as a decision problem under uncertainty. We use an empiri- cal distribution function to describe the uncertainty of scores obtained from historical transactions. We then propose an approach to discovering the admissible set of services in- cluding alternative services that are not dominated by any other alternatives according to the expected utility criterion. Stochastic dominance （SD） rules are used to compare two services with uncertain scores regardless of the distribution form of their uncertain scores. By using the properties of SD rules, an algorithm is developed to reduce the number of SD tests, by which the admissible services can be reported pro- gressively. We prove that the proposed algorithm can be run on partitioned or incremental alternative services. Moreover, we achieve some useful theoretical conclusions for correct pruning of unnecessary calculations and comparisons in each SD test, by which the efficiency of the SD tests can be im- proved. We make a comprehensive experimental study using real datasets to evaluate the effectiveness, efficiency, and scal- ability of the proposed algorithm.

关键词： Web services uncertain QoS partial preference,empirical distribution function stochastic dominance admis-sible set

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Automated stroke lesion detection and diagnosis system

Automated stroke lesion detection and diagnosis system

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2017 International MultiConference of Engineers and computer Scientists, IMECS 2017

作者： Saad, N. Mohd Noor, N.S.M. Abdullah, A.R. Muda, Sobri Muda, A.F. Rahman, N. N. S. Abdul Center for Robotics and Industrial Automation Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Malaysia Center for Robotics and Industrial Automation Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Malaysia Center for Robotics and Industrial Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Malaysia Radiology Department Fakulti Perubatan dan Sains Kemanusiaan Universiti Putra Malaysia Malaysia Faculty for Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Malaysia Center for Robotics and Industrial Automation Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Malaysia

ISBN: (纸本)9789881404732

This study proposes a technique for automated detection and diagnosis of stroke lesions based on diffusion-weighted imaging (DWI). The technique consists of several stages which are pre-processing, segmentation, feature extraction, and classification. The proposed analytical framework of this study is based on Fuzzy C-Means (FCM) segmentation, statistical parameters for features extraction and rule-based classification. The three-dimensional (3D) view is developed to enable observing directions of the gained 3D structure along the three axes. The segmentation results have been validated by using Jaccard and Dice indices, false positive rate (FPR), and false negative rate (FNR). The results for Jaccard, Dice, FPR and FNR of acute stroke are 0.7, 0.84, 0.049 and 0.205, respectively. The accuracy for acute stroke is 90% and chronic stroke is 70%, while the sensitivity and the specificity is 84.38% and 83.33%, respectively.

关键词： Extraction

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Adaptive Fuzzy Yaw Moment Control of Humanoid Robot Based On Ankle Joint 34

Adaptive Fuzzy Yaw Moment Control of Humanoid Robot Based On...

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第三十四届中国控制会议

作者： YANG Liang LIU Zhi ZHANG Yun Faculty of Automation Guangdong University of Technology School of Computer Engineering University of Electronic Science and Technology of China Zhongshan Institute

ISBN: (纸本)9781467374439

This paper investigates the problem of yaw moment control of humanoid robot and presents a robust adaptive control system for compensating the undesired yaw moment. In order to get the ideal ankle joint trajectory with low energy consumption,a novel yaw moment control based on ankle is proposed. The main strategy in this method is to adjust ankle joint trajectory in a way to exert a moment for counteracting the factors which generate the undesired yaw moment. Given the optimized ankle joint angles motion, an adaptive fuzzy control system is proposed to track the desired trajectories with model uncertainties and the stability proof is provided. Simulation results validate the proposed method.

关键词： humanoid robot,yaw moment,adaptive fuzzy control,robustness

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Temperature control of electric furnace based on fuzzy PID

Temperature control of electric furnace based on fuzzy PID

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International Conference on Electronics and Optoelectronics

作者： Yu, Han Jia, Jinling Chen, Guangjian Chen, Xizhen Faculty of Automation and Information Sichuan University of Science and Engineering Zigong China Faculty of Computer Science Sichuan University of Science and Engineering Zigong China

ISBN: (纸本)9781612842738

To electric furnace's characters as non-linear and time-varying, we designed a fuzzy PID controller, and made some simulation through MATLAB, at the same time we used a traditional PID controller and simulated, then compared the result of traditional PID controller with fuzzy PID controller's result and analyzed the property. The result of simulation shows that the speediness, stability and anti-interference ability of fuzzy PID control are superior to those of traditional PID control. © 2011 IEEE.

关键词： MATLAB

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Design of automatic washing machine based on Verilog HDL language

Design of automatic washing machine based on Verilog HDL lan...

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International Conference on Electronics and Optoelectronics

作者： Chen, Xizhen Chen, Guangjian Jia, Jinling Yu, Han Zhou, Tianpeng Faculty of Automation and Information Sichuan University of Science and Engineering Zigong China Faculty of Computer Science Sichuan University of Science and Engineering Zigong China

ISBN: (纸本)9781612842738

As described by digital system the language Verilog HDL is widely used in the circuit design, its own advantages to be able to use software language describe hardware features that makes it has good readability, portability, etc. Its advantages not only reduce the hardware development cycle but also greatly reduce development costs. This article describes the characteristics and application of Verilog HDL and take the automatic washing machine as examples to illustrate the practicality of HDL. The result of simulation shows this method is feasibility and effectiveness. © 2011 IEEE.

关键词： computer hardware description languages

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A surrogate approach for the global optimization of signal settings and traffic assignment problem

A surrogate approach for the global optimization of signal s...

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International IEEE Conference on Intelligent Transportation Systems

作者： Adacher, Ludovica Cipriani, Ernesto Faculty of Engineering Department of Computer Science and Automation University of Roma Tre Italy Faculty of Engineering Department of Science of Civil Engineering University of Roma Tre Italy

ISBN: (纸本)9781424476572

We extend a 'surrogate problem' approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traffic assignment combined problem. We compare a stochastic method based on the surrogate approach, called Surrogate Method (SM), with a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine. Numerical experiments conducted on a test network show that the surrogate method converges to a really small area and it finds much more efficient solutions. ©2010 IEEE.

关键词： Global optimization

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Lossless and lossy compression in 4D bio-modeling

Lossless and lossy compression in 4D bio-modeling

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1st International Conference on Information and Communication Technology and Accessibility, ICTA 2007

作者： Žagar, Martin Kovac, Mario Bosnic, Ivana Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing Unska 3 HR-10000 Zagreb Croatia

ISBN: (纸本)9789973879141

Bio-modeling has important role in virtual reality in telemedicine providing base for simulations and decisions. Virtual reality is based on sequences of volumetric images whose motion is captured in time. These data sets are typically very large in size and demand a great amount of resources for storage and transmission. Therefore it is necessary to compress this data both fast and efficiently. We will propose combination of lossless and lossy compression models to obtain toset demands.

关键词： Virtual reality

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Lyapunov-design for a super-twisting sliding-mode controller using the certainty-equivalence principle

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IFAC-PapersOnLine 2015年第11 11期48卷 860-865页

作者： Barth, Alexander Reichhartinger, Markus Reger, Johann Horn, Martin Wulff, Kai Computer Science and Automation Department Technische Universität Ilmenau Ilmenau98684 Germany Faculty of Electrical and Information Engineering Graz University of Technology Graz8010 Austria

In this article, a Lyapunov-based control concept is presented combining variable structure and adaptive control. The considered system class comprises single-input systems which are affected by structured and unstructured uncertainties. The design is based on a Lyapunov function for the super-twisting algorithm. This Lyapunov function is exploited to derive the adaptive part of the proposed controller using the certainty equivalence principle. It is demonstrated that this combination of sliding-mode and adaptive control methodology allows to relax the boundedness condition known from the super-twisting algorithm while reducing the sliding-mode gain significantly. The effectiveness of the presented concept is demonstrated in detail, using results from numerical simulations and experimental data of a laboratory testbed. © 2015

关键词： Adaptive control systems Controllers Lyapunov functions Robust control Sliding mode control Uncertain systems Adaptive Control Boundedness conditions Lyapunov theories Lyapunov based control Sliding mode controller Sliding modes Super twisting algorithm Unstructured uncertainty

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