检索结果-内蒙古大学图书馆

International International Symposium on computer and Information Sciences (ISCIS)

作者： Tarek Helmy College of Engineering Department of Computer and Automatic Control Tanta University Egypt College of Computer Science and Engineering King Fahd University of Petroleum and Minerals Saudi Arabia

Disk scheduling algorithms have long been a topic of study in computer science. Many researchers studied the performance of the disk scheduling algorithms. However, perhaps due to the difficulty of implementation, those early works focused solely on exploring the basic ideas and comparing the performance of these algorithms. No one studied the effect of bad sectors in their performance. In this paper, the performance of the disk scheduling algorithms in the presence of bad sectors is studied. The mapping of bad sectors to spare sectors is considered. We use simulation to do the performance evaluation. Simulation results show that all disk scheduling algorithms are same when there is a high percentage of bad sectors and when the spare sectors are distributed at the end of the disk. It is shown also that with a high percentage of bad sectors, the disk scheduling algorithms perform better if the distribution of spare sectors is at the end of the disk. With a low percentage of bad sectors, the scheduling algorithms perform better if the distribution of spare sectors is within the entire disk. It is shown also that all scheduling algorithms are more sensitive to bad sectors in heavily loaded systems.

关键词： Scheduling algorithm computer science Educational institutions Petroleum Minerals Disk drives control systems Delay

来源：评论

学校读者我要写书评

暂无评论

Indirect Adaptive control of Unknown Nonlinear Systems with Parametric and Dynamic Uncertainties: A new Neuro-Fuzzy Method, Employing a Novel Approach of Parameter Hopping

引用

IFAC Proceedings Volumes 2009年第19期42卷 79-85页

作者： Manolis Christodoulou Yiannis Boutalis Dimitrios Theodoridis Department of Electronic and Computer Engineering Technical University of Crete 73100 Chania Crete GREECE Department of Electrical and Computer Engineering Democritus University of Thrace 67100 Xanthi GREECE Department of Electrical Electronic and Communication Engineering Chair of Automatic Control University of Erlangen-Nuremberg 91058 Erlangen GERMANY Department of Electrical and Computer Engineering Democritus University of Thrace 67100 Xanthi GREECE

Abstract The indirect adaptive regulation of unknown nonlinear dynamical systems under the presence of dynamic and parameter uncertainties, is considered in this paper. The method is based on a new Neuro-Fuzzy Dynamical Systems definition named Fuzzy-Recurrent High Order Neural Network (F-RHONN), which however takes into account the fuzzy output partitions of the initial fuzzy dynamical system (FDS) operating in conjunction with appropriate HONNFs, that approximates the fuzzy rules. The proposed scheme does not require a-priori experts’ information on the number and type of input variable membership functions making it less vulnerable to initial design assumptions. Once the system is identified around an operation point, it is regulated to zero adaptively. Weight updating laws for the involved HONNFs are provided, which guarantee that under the presence of ‘small’ dynamic uncertainties both the identification error and the system states reach zero exponentially fast, while keeping all signals in the closed loop bounded. The existence of the control signal is always assured by introducing a method of parameter hopping, which is incorporated in the weight updating law. The applicability is tested on the Lorenz model, where it is shown that by following the proposed procedure one can obtain asymptotic regulation quite well in the presence of unmodeled dynamics.

关键词： Neuro-Fuzzy systems indirect adaptive control parameter hopping

来源：评论

学校读者我要写书评

暂无评论

Particle filter approach to nonlinear system identification under missing observations with a real application

Particle filter approach to nonlinear system identification ...

引用

作者： Gopaluni, R. Bhushan Schön, Thomas B. Wills, Adrian G. Department of Chemical and Biological Engineering University of British Columbia Vancouver V6T 1Z3 Canada Division of Automatic Control Linköping University SE-581 83 Linköping Sweden School of Electrical Engineering and Computer Science University of New Castle Australia

ISBN: (纸本)9783902661470

This article reviews authors' recently developed algorithm for identification of nonlinear state-space models under missing observations and extends it to the case of unknown model structure. In order to estimate the parameters in a state-space model, one needs to know the model structure and have an estimate of states. If the model structure is unknown, an approximation of it is obtained using radial basis functions centered around a maximum a posteriori estimate of the state trajectory. A particle filter approximation of smoothed states is then used in conjunction with expectation maximization algorithm for estimating the parameters. The proposed approach is illustrated through a real application. © 2009 IFAC.

关键词： Nonlinear systems

来源：评论

学校读者我要写书评

暂无评论

Optimal motion planning for robotic manipulators with dynamic obstacles using mixed-integer linear programming

Optimal motion planning for robotic manipulators with dynami...

引用

Mediterranean Conference on control and Automation (MED)

作者： Hao Ding Mingxiang Zhou Olaf Stursberg Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany Institute of Automatic Control Engineering Technische Universität München Munich Germany

The task of motion planning for robotic manipulators means to drive an end-effector between designated points in the work area while obstacles are not hit. This contribution investigates the case of dynamic obstacles (like human operators) and the consideration of a performance criterion to be maximized for the motion. The proposed approach maps the dynamics of the manipulator and the obstacles into the C times T-space (spanned by the configuration C and the time T). Within this space, an (sub-)optimal sequence of configurations in the collision-free subspace is determined by mixed-integer linear programming. To achieve sufficient computational efficiency, the optimization task is approached by employing the principles of model predictive control. The paper describes the approach based on the example of a two-link robot interacting with a human operator.

关键词： Manipulator dynamics Motion planning Robots Dynamic programming Linear programming Orbital robotics Path planning Robotics and automation Trajectory automatic control

来源：评论

学校读者我要写书评

暂无评论

Design of the scales for the power boiler fuel feeding system based on the process identification

引用

IFAC Proceedings Volumes 2009年第13期42卷 292-295页

作者： G. Bialic M. Zmarzły R. Stanisławski Department of Electrical Engineering Automatic Control and Computer Science Opole University of Technology 31 K. Sosnkowskiego St. PL45-272 Opole Poland

Abstract In the paper the mathematical modeling methods were employed to solve the problem of fuel mass estimation supplied to the power generating boiler grid. It was shown that popular polynomial and neural network based identification algorithms can be used to measure amount of fuel supplied to the boiler combustion chamber. Furthermore the original conception and exemplary realization of the mass stream measuring system was presented.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Interactive Learning Module for control interaction understanding 10

Interactive Learning Module for control interaction understa...

引用

2009 10th European control Conference, ECC 2009

作者： Guzman, J.L. Astrom, K.J. Hagglund, T. Dormido, S. Berenguel, M. Piguet, Y. Automatics and Control Engineering Area Department of Computer Science University of Almería Almería04120 Spain Department of Automatic Control Lund University Box 118 LundSE-22100 Sweden Dep. Informática y Automática ETSI Informática UNED Madrid28040 Spain Calerga Sàrl 35 av. de la Chablière Lausanne1004 Switzerland

ISBN: (纸本)9783952417393

This paper describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and learning of basic concepts on multivariable control is a key factor in control engineering education. In this sense, the interactive tool presented in this paper is aimed to introduce basic ideas on multivariable control systems mainly focused on interaction and pairing concepts. © 2009 EUCA.

关键词： Teaching

来源：评论

学校读者我要写书评

暂无评论

Improving Software Testing Cost-Effectiveness through Dynamic Partitioning

Improving Software Testing Cost-Effectiveness through Dynami...

引用

International Conference on Quality Software

作者： Zhi Quan Zhou Arnaldo Sinaga Lei Zhao Willy Susilo Kai-Yuan Cai School of Computer Science and Software Engineering University of Wollongong Wollongong NSW Australia Department of Automatic Control Beijing Aeronautics and Astronautics University Beijing China

ISBN: (纸本)9781424459124

We present a dynamic partitioning strategy that selects test cases using online feedback information. The presented strategy differs from conventional approaches. Firstly, the partitioning is carried out online rather than off-line. Secondly, the partitioning is not based on program code or specifications; instead, it is simply based on the fail or pass information of previously executed test cases and, hence, can be implemented in the absence of the source code or specification of the program under test. The cost-effectiveness of the proposed strategy has been empirically investigated with three programs, namely SPACE, SED, and GREP. The results show that the proposed strategy achieves a significant saving in terms of total number of test cases executed to detect all faults.

关键词： Software testing Subspace constraints Aerodynamics Costs computer science Software engineering Fault detection Adaptive control Cybernetics Software quality

来源：评论

学校读者我要写书评

暂无评论

Multi-category bioinformatics dataset classification using extreme learning machine

Multi-category bioinformatics dataset classification using e...

引用

Congress on Evolutionary Computation

作者： Tarek Helmy Zeehasham Rasheed College of Engineering Department of Computer and Automatic Control Tanta University Tanta Egypt Information and Computer Science Department College of Computer Science and Engineering King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Information and Computer Science Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

This paper presents recently introduced learning algorithm called extreme learning machine (ELM) for single-hidden layer feed-forward neural-networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs. The ELM avoids problems like local minima, improper learning rate and over fitting commonly faced by iterative learning methods and completes the training very fast. We have evaluated the multicategory classification performance of ELM on five different data sets related to bioinformatics namely, the Breast Cancer Wisconsin data set, the Pima Diabetes data set, the Heart-Statlog data set, the Hepatitis data set and the Hypothyroid data set. A detailed analysis of different activation functions with varying number of neurons is also carried out which concludes that Algebraic Sigmoid function outperforms all other activation functions on these data sets. The evaluation results indicate that ELM produces better classification accuracy with reduced training time and implementation complexity compared to earlier implemented models.

关键词： Bioinformatics Machine learning Iterative algorithms Feedforward systems Algorithm design and analysis Iterative methods Learning systems Breast cancer Diabetes Liver diseases

来源：评论

学校读者我要写书评

暂无评论

Image password lock system by tracing position information of the pupil

引用

Optica Applicata 2009年第1期39卷 149-160页

作者： Lin, Chern-Sheng Lay, Yun-Long Lin, Chi-Chin Chiu, Chuang-Chien Yeh, Mau-Shiun Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Electronic Engineering National Chinyi University of Technology Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan Chung-Shan Institute of Science and Technology Lung-Tan Tao-Yuan Taiwan

In this paper, a new method for an improved image password lock system by tracing position information of the pupil is described. The present technology relates to an efficient auto-detecting function, and in particular, to an image password lock system, which can provide the benefits of a novel password input mode without any contact. In this system, a PC camera device detects a movable target object to read a dynamic eye image data. Moreover, the dynamic eye image data has a predetermined shooting range set to be a whole-region image, and the whole-region image has a central region and a plurality of specific password regions. A target eye image is displayed by a display device, and then processed by an image processing device, thereby calculating a center coordinate point of the target eye image in the dynamic image data, compiling a password constituted by a movement position of the target object image, displaying the password, and validating the password. Therefore, the benefits of a novel password input mode without any contact, an efficient anti-theft function, are provided.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Wireless Ventilation control for Large-Scale Systems: the Mining Industrial Case

Wireless Ventilation Control for Large-Scale Systems: the Mi...

引用

IEEE Annual Communications Society Sensor, Mesh and Ad Hoc Communications and Networks SECON Workshops

作者： M.D. Di Benedetto A. D'Innocenzo C. Fischione A.J. Isaksson K.H. Johansson S.-I. Niculescu S. Olaru G. Sandou F. Santucci E. Serra S. Tennina U. Tiberi E. Witrant Department of Electrical and Computer Engineering DEWS-University of L'Aquila L'Aquila Italy Universita degli Studi dell'Aquila L'Aquila Abruzzo IT Automatic Control Department KTH Stockholm Sweden ABB Corporate Research Center Vasteras Sweden LSS-SUPELEC Gif-sur-Yvette France Automatic Control Department SUPELEC Gif-sur-Yvette France Control Systems Department Université Joseph Fourier-Grenoble Grenoble France

Mining ventilation is an interesting example of a large scale system with high environmental impact where advanced control strategies can bring major improvements. The challenge in this work is focused on the mining ventilation since as much as 50 % or more of the energy consumed by the mining process may go into the ventilation (including heating the air). It is clear that investigating automatic control solutions and minimizing the amount of pumped air to save energy consumption (proportional to the cube of airflow quantity) is of great environmental and industrial interest.

关键词： Ventilation control systems Large-scale systems Electrical equipment industry Industrial control Mining industry automatic control Shafts Fans Computational fluid dynamics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：