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轮胎缠绕机智能仿型控制软件系统 被引量:1
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作者 黄伟彬 《橡塑技术与装备》 CAS 2006年第3期44-45,51,共3页
设计了全新的缠绕机智能仿型控制系统。该系统利用可视界面,实现缠绕仿型轮胎规格的实时编辑,并可记录查询工作数据。控制软件主要包括计划编辑、工艺参数管理、数据查询、资料管理、帮助5项功能。该控制系统已投入生产使用,得到好评。
关键词 缠绕机 智能仿型 控制功能 参数
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智能仿型一拖二工程胎胎面缠绕机组的研制 被引量:1
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作者 杨铁军 谷祖娥 +1 位作者 张阿礼 张杰云 《橡塑技术与装备》 CAS 2004年第9期31-36,共6页
介绍了威海三方新研制的一拖二缠绕机的技术特征、技术参数、结构特性、系统功能、适用范围等。实践证明、该机可缩短工期、降低劳动强度、提高产品质量。
关键词 一拖二 工程胎胎面缠绕机 双向缠绕 联动控制 智能仿型 自动对中
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Key problems in validation of intelligent models
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作者 刘飞 马萍 +1 位作者 杨明 王子才 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2009年第3期371-375,共5页
To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for de... To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for defining the validation points and validation metrics for measuring the agreements between human experts and intelligent models were presented. Further,such methods as graphical comparison,feature analysis and face validation were discussed according to the characteristics of intelligent models. Based on the validation criteria,validation metrics and validation methods,the intelligent models can be effectively validated,which has been proved in current developed intelligent models. 展开更多
关键词 intelligent models validation criteria validation metrics validation methods
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Study on WSN Localization Algorithm and Simulation Model for Intelligent Transportation System
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作者 Lian-zhou GAO 《International Journal of Technology Management》 2013年第2期23-27,共5页
This paper conducts research on the algorithm to improve the location of Wireless Sensor Network (WSN) in Intelligent Transportation System (ITS). The localization algorithm introduced an improved RSSI vehicle loc... This paper conducts research on the algorithm to improve the location of Wireless Sensor Network (WSN) in Intelligent Transportation System (ITS). The localization algorithm introduced an improved RSSI vehicle localization algorithm based on multi-path effect and Gaussian white noise. The localization results under different values of Gaussian white noise and different density of beacon nodes are analyzes, and Kalman filtering algorithm is introduced to reduce the influence of signal noise. Finally, a simulation model of ITS is developed to test the algorithm based on mixed noise and Kalman filtering algorithm, which is used to simulate the localization of real vehicles. The simulation shows the algorithm has effect to improve location accuracy and to application 展开更多
关键词 Intelligent Transportation System Wireless Sensor Network vehicle localization Gaussian white noise Kalman filteringalgorithm
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