DCS和FCS及其在火电厂中的应用

介绍了集散控制系统和现场总线控制系统，并对它们在火电厂中的应用做了分析。     

Metamorphic Algorithm of Self-reconfigurable Modular Robotic System

Introduction Aself reconfigurableroboticsystemconsistsofman simpleidenticalmechatronicmodules.Thesemodulesca connectanddisconnectfromonetoanothertochangethe overalltopology.Thesystemcanautonomouslyandynamicallyadaptitsshapetosuittheneedsofthetask hand,e.g.manipulation,locomotion,andcreationo staticstructures.Thegeneralphilosophyofsel reconfigurableroboticsystemistosimplifythedesignanreducemanufacturingcostandenhancefunctionalityan versatilitythroughalargernumberofidenticalmodules.I addition…     

常温条件下颗粒污泥处理含铅废水

对未经驯化的颗粒污泥处理含铅废水进行了初步实验研究.结果表明,颗粒污泥对含铅废水具有较高的去除能力,铅去除率在95%以上.颗粒污泥的加入量、废水酸度、沉降时间是影响处理效果的主要因素.通过对20mg/L的含铅试水进行处理,铅达到了排放标准.     

信息与计算科学专业建设的思考

结合职技高师院校的办学特色,论述了在职技高师院校如何办好信息与计算科学专业,探讨了该专业内涵,专业发展,专业建设和市场定位等一系列问题。     

一阶非线性非完整系统的改进的Routh方程

导出了一阶非线性非完整系统的改进的Ｒｏｕｔｈ方程并举例说明其应用，从而提供了建立非完整系统的运动微分方程的一种新方法。该方程的特点在于其第一组方程中只包含系统的独立的广义动量，而第二组方程中不包含任何广义动量。同时，本文结果也是对黄昭度先生的“改进的Ｒｏｕｔｈ方程”一文中的某些错误的修正。     

中长跑的选材与预测

本文从系统学角度,探讨如何控制中长跑选材的过程,并从生理、心理、身体素质以及身体形态等方面探讨如何以科学的选材方法和手段为依据,指导教练选出优秀人材,进行早期培养,缩短其成材周期,提高成材率。     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.     

大型喷浆机器人的灵巧度分析

灵巧度是衡量机器人运动失真程度的重要参数。对机器人灵巧度评价指标进行了对比研究 ,结合大型喷浆机器人自由度较多的特点 ,用雅可比矩阵的条件数对喷浆机器人的灵巧度进行了分析。结果表明 ,大型喷浆机器人在不同形位下的条件数都很小 ,具有较好的运动灵巧度。     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-     

p-可分解群的一个定理

极小子群在有限群的研究中占据着重要的地位．本文利用了极小子群的弱c-正规性刻画了极小子群对有限群构造的影响，得出了p-可分解群的一个结果．