肢体协调运动康复机器人的机构设计与实验

针对临床上缺少一种肢体协调运动康复训练设备的现状,研制了一款适用于偏瘫患者个性化训练的上下肢协调运动康复机器人.首先,在探究正常步态上下肢协调运动规律的基础上,选择以肩、膝关节角度协调变化规律作为机器人的设计目标;然后,基于五杆变胞机构设计了康复训练机构及主/辅传动链,并对训练机构进行了运动学分析;最后,在样机上进行了实验,结果表明该机器人能够满足设计目标.     

Output feedback regulation of upper triangular nonlinear systems with uncertain time‐varying delays in states and input

In this paper, an output feedback controller is studied to regulate a class of upper triangular nonlinear systems with uncertain time‐varying delays. The key features of our considered system are that there are uncertain time‐varying delays in both states and input and the high‐order nonlinearity is in a more relaxed form over the previous results. Theoretical analysis and numerical example are presented to show the benefits of our controller. Copyright © 2017 John Wiley & Sons, Ltd.     

基于RSKNN分类改进算法

RSKNN算法是K近邻算法的一种改进算法,该算法基于变精度粗糙集理论,能在保证一定分类精度的前提下,有效地降低分类样本的计算量,并且提高计算效率和分类精度．由于RSKNN算法对属性的依赖度较高,在分类时容易受到伪近邻的影响,导致RSKNN算法的分类精度受到一定程度的影响．针对存在问题,本文提出一种新颖的基于RSKNN算法的改进算法SMwRSKNN,该算法在RSKNN算法的基础上引入类别子空间的思想,以降低冗余属性和伪近邻对分类的影响．在UCI公共数据集上的实验结果表明,SMwRSKNN算法比RSKNN算法具有更高的分类精度．     

一种O(2.983n)时间复杂度的最优联盟结构生成算法

首先,在有限整数集上建立有效拆分关系,在联盟集上建立有效二部分解关系,并设计了一种EOCS(effective optimal coalition structure)算法.该算法采用自底向上方式,只对具有有效二部分解关系的联盟进行二部分解来求联盟的优值,从而降低了二部分解的数量.随后,利用函数的克林闭包特性证明了EOCS算法的正确性,利用积分极限定理证明了EOCS算法时间复杂度的下界是O(2.818n),用时间序列分析方法求出了EOCS算法的上界是O(2.983n).最后,将EOCS算法与其他算法作了对比,指出无论联盟值满足何种概率分布,EOCS算法都能在O(2.983n)时间内找出最优联盟结构.Rothkopf提出的DP(dynamic programming)算法和Rahwan提出的IDP(improved dynamic programming)算法能够在O(3n)时间内求出最优联盟结构.所作的EOCS算法设计、正确性证明、时间复杂度的上下界分析都是对Rothkopf及Rahwan等人相关工作的改进和提高.     

电缆接头温度监测系统

电缆温度监测是一些大中型企业经常面临的问题。详细介绍了利用计算机、单片机构成的电缆接头温度自动监测系统。通过该系统可及时获得电缆温度变化情况 ,为安全生产提供保障     

θ-improved limited tolerance relation model of incomplete information system for evaluation of water conservancy project management modernization

The modernization of water conservancy project management is a complicated engineering system involving a management system, a management method, management personnel, the exertion of social, economic, and ecological effects, and so on. However, indices for evaluating the modernization of water conservancy project management are usually unobtainable in practical applications. Conducting appropriate extension of the classical rough set theory and then applying it to an incomplete information system are the key to the application of the rough set theory Based on analysis of some extended rough set models in incomplete information systems, a rough set model based on the θ-improved limited tolerance relation is put forward. At the same time, upper approximation and lower approximation are defined under this improved relation. According to the evaluation index system and management practices, the threshold for θ is defined. An example study indicates the practicability and maneuverability of the model.     

蒲石河抽水蓄能电站上库分水岭渗漏分析

蒲石河抽水蓄能电站上库为天然库盆,水库渗漏问题是主要工程地质问题之一。分析与研究库周总长为3 700.2 m库岸分水岭的渗漏问题后认为,长约846 m的北库岸水库蓄水后库水外渗的可能性不大;西、南库岸地段水力坡降增大,渗径较短,渗流量增大;西库岸存在沿F1、Fy3、F103等断层破碎带渗漏通道的地质条件;上水库总渗漏为3 413.89 m3/d。渗漏分析大体上能够反映实际情况,但有些问题仍需进一步研究。     

黄河上中游流域泥沙优化配置研究

针对流域水土流失的灾害性、泥沙利用现状及泥沙优化配置的必要性,基于大系统分解-协调思想的流域泥沙优化配置原理与流域各子系统的泥沙多目标优化配置方法,构建了流域泥沙优化配置理论框架。进而建立了黄河上中游流域泥沙优化配置数学模型,该模型包括相互联系的各子系统、各分区和大系统三级泥沙优化配置数学模型,开展了不同水沙条件的黄河上中游流域泥沙优化配置方案计算,对计算结果进行了评价并提出了建议方案,为黄河上中游流域泥沙的科学治理提供了参考依据。     

Solution of impulsive boundary value problems on infinite intervals

In this paper, the upper and lower solution method and monotone iterative technique are employed to study the boundary value problem for a class of first-order impulsive ordinary differential equations with Carathéodory condition on infinite intervals. Several existence theorems are obtained.     

Generalized Bayesian inference in a fuzzy context: From theory to a virtual reality application

A generalized Bayesian inference framework in order to embed fuzzy sets and partial probabilistic information is provided. The general framework of reference is that of coherent conditional probabilities, which allows giving a rigorous interpretation of membership function as a conditional probability, regarded as a function of the conditioning event. The inferential problem needs to be studied in situations where the prior can be partial; moreover, membership and prior can be given on different classes of events. This inferential model is applied for the virtual representation of a female avatar.