2006 IEEE International Conference on Automation Science and Engineering最新文献_第4页

The Design of Field Information Detection System Based on Microcomputer 基于微机的现场信息检测系统设计

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326872

Z. Qiu, Jingyuan Mao, Yong He

引用次数: 1

Automatic Generation of Component-level Dynamic Equations Using Extensible Element Linear Graph Method 基于可扩展元线性图法的构件级动态方程自动生成

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326865

Yingzhe Li, Zhong-qin Lin, Hao Wang, Yong Chen

引用次数: 0

Algorithm of Two-Step Eye-Hand Calibration by Resolving Linear Equations 求解线性方程的两步眼手标定算法

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326883

Y. Shang, Qifeng Yu, Zhiqiang Qiu

引用次数: 0

A new automatic cooking machine for Chinese dishes 一种新型的中国菜自动烹调机

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326938

Yan Weixin, Z. Fu, Yingbin Liu, Ran Liu, Yanzheng Zhao, X. Y. Zhou, J. Tang, P. Yan

引用次数: 7

Autonomous Distributed Scheduling Adjustment Function with Interchanging Operations 具有互换操作的自治分布式调度调整功能

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326913

Sung-Chul Cho, Kiyun Woo, K. Takamasu, S. Fujimura

引用次数: 0

Research on Computational Method of Fault Probability for New Product Development Based on Intelligence and Integration 基于智能与集成的新产品开发故障概率计算方法研究

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326901

Fei Li, Liping Zhao, Yiyong Yao

{"title":"Research on Computational Method of Fault Probability for New Product Development Based on Intelligence and Integration","authors":"Fei Li, Liping Zhao, Yiyong Yao","doi":"10.1109/COASE.2006.326901","DOIUrl":"https://doi.org/10.1109/COASE.2006.326901","url":null,"abstract":"Computing fault probability is an effective method of predicting the possible weakness of new product. Aiming at computing fault probability of each component of new product, and ensuring simplification of computational process and reasonableness of result, in the paper, according to design proposal and layering of new product, fault tree meta-model (FTMM) is established based on node-knowledge-representation method (NKRM) to express logical relation between each failure in different level of product and collaboration between each part. Secondly, RST and Bayes theory are applied to mining the decision rule of FTMM which is that fault of part in lower level causes fault of part in upper level, and joint probability of part is computed directly which avoids difficulty of computing because of unknown prior probability, then fault probability of part is computed. On this basis, weighted mean algorithm based on Bayes-and-RST (BRMA) is proposed to revise fault probability further, thus the result is more exact and reasonable, which can help product development personnel predict possible weakness of product in time and carrying out reliability design further in the design stage of new product development. Finally, an instance is analyzed","PeriodicalId":116108,"journal":{"name":"2006 IEEE International Conference on Automation Science and Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Automatic EEG Spike Detection Algorithm Using Morphological Filter 一种基于形态滤波的脑电图峰值自动检测算法

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326875

Guanghua Xu, J. Wang, Qing Zhang, Junming Zhu

{"title":"An Automatic EEG Spike Detection Algorithm Using Morphological Filter","authors":"Guanghua Xu, J. Wang, Qing Zhang, Junming Zhu","doi":"10.1109/COASE.2006.326875","DOIUrl":"https://doi.org/10.1109/COASE.2006.326875","url":null,"abstract":"Epileptic electroencephalogram data contains transient components and background activities. One of the transients is spike, which occurs randomly with short-duration. Spike detection in EEG is significant for clinical diagnosis of epilepsy. Since it is time consuming to scan spikes manually, an automatic spike detection method is necessary. In this paper, we introduce an automatic spike detection method in epileptic EEG based on morphological filter. Firstly, an average weighted combination of open-closing and close-opening morphological operator, which eliminates statistical deflection of amplitude, is utilized to extract spike component from epileptic EEG. Then, according to the characteristic of spike component, the structure elements are constructed with two parabolas, and a new criterion is put forward to optimize center amplitude and width of the structure elements. The proposed method is evaluated by simulated epileptic EEG data. Results show that background activity is fully restrained and spike component is well extracted. Finally, the method is applied to normal and epileptic EEG data which are actually recorded from nine testees. The average detection rate of spikes is 91.62% and no false detection for normal EEG signals","PeriodicalId":116108,"journal":{"name":"2006 IEEE International Conference on Automation Science and Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121043489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Scheduling algorithms for optimal robot cell coordination - a comparison 最优机器人单元协调调度算法比较

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326912

A. Kobetski, D. Spensieri, Martin Fabian

引用次数: 13

Black-box modeling of a Two-Stroke Racing Motorcycle Engine for Virtual Prototyping Applications 基于虚拟样机应用的二冲程摩托车发动机黑盒建模

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326894

A. Beghi, M. Liberati, S. Peron, Davide Sette

{"title":"Black-box modeling of a Two-Stroke Racing Motorcycle Engine for Virtual Prototyping Applications","authors":"A. Beghi, M. Liberati, S. Peron, Davide Sette","doi":"10.1109/COASE.2006.326894","DOIUrl":"https://doi.org/10.1109/COASE.2006.326894","url":null,"abstract":"In the design process of complex systems, the use of physical prototypes presents many drawbacks in terms of both costs and time. Virtual prototyping tools allow instead the designer to extensively study the system behavior in a variety of configurations, providing the possibility of performing focussed tests and comparing the effectiveness of different solutions before the physical realization of the prototype. When building the virtual prototype, the choice of a suitable model for each of the interacting components is crucial for achieving reliable results. In the simulation of racing vehicles, such as cars or motorcycles, it is common practice to represent the engine torque by means of stationary maps depending on a finite number of constant values of the throttle fraction and the rotational speed of the crankshaft. Although simple to implement and characterize, such model cannot reproduce dynamic transients, and therefore may not be adequate when a detailed analysis of the vehicle behavior is required. In this paper we present the characterization and identification of a nonlinear dynamic model for a two-stroke internal combustion high-performance engine, to be used in the ADAMS multibody virtual prototyping environment. The model is obtained by using neural networks and validated on experimental data","PeriodicalId":116108,"journal":{"name":"2006 IEEE International Conference on Automation Science and Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116069414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Operating Rooms Planning Using Lagrangian Relaxation Technique 利用拉格朗日松弛法规划手术室

2006 IEEE International Conference on Automation Science and Engineering Pub Date : 2006-10-01 DOI: 10.1109/COASE.2006.326876

M. Lamiri, Xiaolan Xie

引用次数: 11