检索结果-内蒙古大学图书馆

4th International Conference on Knowledge-Based intelligent engineering systems and Allied Technologies, KES 2000

作者： Mahfouf, M. Tenner, J. Linkens, D.A. Abbod, M.F. Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street SheffieldSI 3JD United Kingdom Corus Research Development and Technology Swinden Technology Centre Moorgate Rotherham United Kingdom

ISBN: (纸本)0780364007

Over the last four years efforts have been devoted towards the development and validation of mechanical test result models relating to a range of alloy steels. Several neural-network based models have been developed, two of which are related to the mechanical test results of Ultimate Tensile Strength (UTS) and Reduction of Area (ROA). The ultimate aim of developing these models is to pave the way to process optimisation through better predictions of mechanical properties. In this research we propose to exploit such neural network models in order to determine the optimal alloy composition and heat treatment temperatures required, given certain predefined mechanical properties such as the UTS and ROA. Genetic Algorithms are used for this purpose. The results obtained are very encouraging. © 2000 IEEE

关键词： Alloy steel

来源：评论

学校读者我要写书评

暂无评论

Optimal design of alloy steels using evolutionary computing

Optimal design of alloy steels using evolutionary computing

引用

International Conference on Knowledge-Based intelligent Information engineering systems (KES)

作者： M. Mahfouf J. Tenner D.A. Linkens M.F. Abbod Corus Research Development and Technology Swinden Technology Centre Rotherham UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Over the last four years efforts have been devoted towards the development and validation of mechanical test result models relating to a range of alloy steels. Several neural-network based models have been developed, two of which are related to the mechanical test results of Ultimate Tensile Strength (UTS) and Reduction of Area (ROA). The ultimate aim of developing these models is to pave the way to process optimisation through better predictions of mechanical properties. In this research we propose to exploit such neural network models in order to determine the optimal alloy composition and heat treatment temperatures required, given certain predefined mechanical properties such as the UTS and ROA. Generic Algorithms are used for this purpose. The results obtained are very encouraging.

关键词： Iron alloys Steel Mechanical factors Heat treatment Genetic algorithms systems engineering and theory System testing Predictive models Neural networks Temperature

来源：评论

学校读者我要写书评

暂无评论

Experimental comparison of nonlinear control strategies for vehicle speed control

Experimental comparison of nonlinear control strategies for ...

引用

IEEE Conference on control technology and Applications (CCTA)

作者： K.J. Hunt J. Kalkkuhl H. Fritz T.A. Johansen T. Gottsche Centre for Systems and Control Department of Mechanical Engineering University of Glasgow Glasgow UK Intelligent Systems Group FT3 AI Daimler-Benz Research Berlin Germany Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway Driver-assistance Systems Group FT3 AA Daimler-Benz Research Stuttgart Germany

This paper describes an experimental comparison of two alternative nonlinear automotive speed control systems. The first approach is based on interpolation of multiple linear controllers designed using multiple local linear models. The second approach is based upon geometric nonlinear control theory and utilises feedback linearisation. This paper focuses on the engineering aspects and experimental comparison in a test vehicle. The controllers are tested in a range of speed-profile tracking tasks, and in a disturbance rejection task (the vehicle is driven up a 10% slope). For comparison, linear PI/PID controllers are implemented.

关键词： Velocity control control systems Testing control design control theory Three-term control Gears Vehicle dynamics Diesel engines Nonlinear control systems

来源：评论

学校读者我要写书评

暂无评论

Recapitalizing the Navy through optimized manning and improved reliability

引用

NAVAL ENGINEERS JOURNAL 1998年第6期110卷 61-72页

作者： Anderson, DE Malone, TB Baker, CC Mr. David E. Anderson:is a Navel Engineer with the Naval Sea Systems Command where he is currently assigmd to the HumanSystems Integration branch. Mr Anderson has a Bachelor of Science degree an Environmental Engineering from Flurida Technological University and a Master's in Environmental Engiwering from the University of Central Flurida. He currentEy is an HSI manager for a number oflvay R&D and skig acquisition efforts. Dr. Thomas B. Malone:received a Ph.D. in Experimental Psychology from Fordham University in 1964. He is President of Carlow International Incorporated an organization dedicated to human factors research and development with emphasis an mantime systems. He has directed over 350 programs and projects in his 33 year career and is responsible for overall management of all contract programs within the Corporation. He is a Past President of the Human Factors and E r g m i c s Society (HFES) of which he is a Fellow. He is also a Fellow of the Washington Academy of Sciences He was selected as a member of the N A S Space Sciences Technical Advisuiy Committee on Technoloo Requirements for Human Performance on Long Duration Space Missions in 2989 and 90. He was elected as the First Chair of the Systems Development Technical Group of the HFES. Dr Malone is currently managing eflorts to devehp and auto- mate standardized processes for canducting human systems integration (HSI) in the military weapon systems acquisition process and fov developing automated tools to facilitate fledormance of specific steps in the HSI process. Dr Malone also is currently occupied in applying human engineering to the DD 21 and is serving as the Chair ofthe System ManninglHuman Perfomzance Working IPT under the DD 21 ManninglHSI IPT chaired ty PMS 500M. Mr. Clifford Baker:has over 20 years experience in developing and applying human factors technology to complex systems. He holds a masters degree in psychology with a specialization in human factors engineering and he is a Board Certified Human Factors Engineering Profesional

Reduced manning is the process (and the result) of removing human functions from a system while retaining or improving system operability and effectiveness. Reliability and maintainability characterize a system's operability and effectiveness. Reduced manning impacts system reliability by changing the characteristics of (1) human error associated with system operation and maintenance, (2) time to repair failed components, and (3) mean-time-between-failures (MBTF) in a reduced manning environment. Simply reducing manning without compensating for system dependence on human involvement generally has a negative impact on system maintainability. Methods to address this include (1) human-system integration design of maintenance interfaces and (2) design of operations activities that are closely related to device failures. After demonstrating reliable performance through testing and operation, ship commanders can be assured that fewer people can effectively operate and maintain Navy ships and systems.

关键词： Naval vessels

来源：评论

学校读者我要写书评

暂无评论

Roles of neural and evolutionary computing in intelligent software systems

British Telecom technology journal

引用

British Telecom technology journal 1996年第4期14卷 46-54页

作者： Tsui, K.C. Azvine, B. Plumbley, M. Hong Kong Polytechnic University of Essex Kings College University of London BT Laboratories Manchester University Dynamics and Control Research Group Engineering Department Manchester University Contr. and Instrum. Research Group Staffordshire University Intelligent Systems Research Group Churchill College Cambridge United Kingdom Thorn-EMI Ctrl. Res. Laboratories Cambridge Univ. Eng. Department Centre for Neural Networks King's College London Department of Computer Science Electron. and Electrical Engineering King's College London United Kingdom European Neural Network Society

This paper describes two computing paradigms known as neural computing and evolutionary computing, and their potential contribution to building intelligent software systems. The paper begins by giving a brief introduction to the origins of each paradigm. Then two sections introduce the basic principles, and identify the role of each paradigm in intelligent system design. Each section ends with a number of applications that have been or are being investigated. These include connection admission control, modem communication, adaptive model-based control, face and handwriting recognition, frequency assignment, help-desk scheduling, financial time-series prediction, face recognition and evolving agent behavior. A section introduces the idea of using communications theory to design neural networks and the paper concludes with the authors' views on the future of neural and evolutionary computing for intelligent software systems.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

A Smooth Variable Structure Position control Of PCB Motor

A Smooth Variable Structure Position Control Of PCB Motor

引用

Singapore International Conference on intelligent control and Instrumentation, SICICI

作者： A.K. Paul B. Bandyopadhyay M.C. Srisailam Divn. of Remote Handling and Robotics Bhabha Atomic Research Centre Mumbai India Systems and Control Engineering Department of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

来源：评论

学校读者我要写书评

暂无评论

Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic control

引用

ACM Transactions on Autonomous and Adaptive systems 1000年

作者： Jian Chen Shaorui Zhou Wei Wang Yuzhu Hu Jianqing Li Ben-Guo He Junxin Chen Marwan Omar Ali Kashif Bashir Xiping Hu School of Intelligent Systems Engineering Sun Yat-Sen University China Guangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing Artificial Intelligence Research Institute Shenzhen MSU-BIT University China School of Computer Science and Engineering Faculty of Innovation Engineering Macau University of Science and Technology Macao SAR China Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Northeastern University China the School of Software Dalian University of Technology China Information Technology and Management Illinois Institute of Technology USA Department of Computing and Mathematics Manchester Metropolitan University UK Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura 140401 Punjab India

Trajectory prediction is a crucial challenge in autonomous vehicle motion planning and decision-making techniques. However, existing methods face limitations in accurately capturing vehicle dynamics and interactions. To address this issue, this paper proposes a novel approach to extracting vehicle velocity and acceleration, enabling the learning of vehicle dynamics and encoding them as auxiliary information. The VDI-LSTM model is designed, incorporating graph convolution and attention mechanisms to capture vehicle interactions using trajectory data and dynamic information. Specifically, a dynamics encoder is designed to capture the dynamic information, a dynamic graph is employed to represent vehicle interactions, and an attention mechanism is introduced to enhance the performance of LSTM and graph convolution. To demonstrate the effectiveness of our model, extensive experiments are conducted, including comparisons with several baselines and ablation studies on real-world highway datasets. Experimental results show that VDI-LSTM outperforms other baselines compared, which obtains a 3% improvement on the average RMSE indicator over the five prediction steps.

关键词： Trajectory Prediction Vehicle Dynamics Interaction Perception Graph Convolution Attention Mechanism

来源：评论

学校读者我要写书评

暂无评论

Knowledge, Information and Creativity Support systems: Recent Trends, Advances and Solutions 1

引用

丛书名： Advances in intelligent systems and Computing

1000年

作者： Andrzej M.J. Skulimowski Janusz Kacprzyk

来源：评论

学校读者我要写书评

暂无评论

Dependence of dynamic preisach distribution function on magnetizing frequencies

Dependence of dynamic preisach distribution function on magn...

引用

作者： Lu, M. Leonard, P.J. Marketos, P. Meydan, T. Moses, A.J. Key Laboratory of Opto-Electronic Technology and Intelligent Control Lanzhou Jiaotong University Ministry of Education Lanzhou 730070 China Group of Bio-Electromagnetics and Plasma Physics Department of Signals and Systems Chalmers University of Technology SE-412 96 Gothenburg Sweden Department of Electronic and Electrical Engineering University of Bath Bath BA2 7AY United Kingdom Wolfson Centre for Magnetics Technology Cardiff University Cardiff CF24-OYF United Kingdom

The Preisach distribution function in electrical steel at different magnetizing frequencies has been studied by the combination of the experimental measurements in an Epstein frame and the numerical identification by the method of centered cycles. The dynamic Preisach distribution function is mostly distributed in the discretized elements along the α= - β axis and the neighboring axis of the α = β axis in the Preisach plane. The least-squares method has been employed to determine the dependence of the values of the distribution function in those specific elements on the magnetizing frequency. The simulated results show that the method in this paper provides another way of calculating the dynamic hysteresis loops. © 2006 IEEE.

关键词： Functions

来源：评论

学校读者我要写书评

暂无评论

Soft Computing for intelligent Robotic systems 1

引用

丛书名： Studies in Fuzziness and Soft Computing

1000年

作者： Lakhmi C. Jain Toshio Fukuda

ISBN: (数字)9783790818826

ISBN: (纸本)9783662130032

research results using some of the most advanced soft computing techniques in intelligent robotic systems are presented. The main purpose of this book is to show how the power of soft computing techniques can be exploited in intelligent robotic systems. The main emphasis is on control system for a mobile robot, behavior arbitration for a mobile robot, reinforcement learning of a robot, manipulation of a robot, collision avoidance and automatic design of robots.;This book will be useful for application engineers, scientists and researchers who wish to use some of the most advanced soft computing techniques in robotics.

关键词： Artificial Intelligence IT in Business Complexity control, Robotics, Mechatronics engineering Economics, Organization, Logistics, Marketing

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：