基于老年群体的健身器材交互设计研究

当今社会,人口老龄化已经成为全世界共同的社会问题,中国也在逐步迈入老龄化社会行列,然而现代信息社会正向年轻化发展。两者的矛盾不言而喻,这让老年人与现代社会脱节越来越严重。文章以老年人健身器材为研究对象,在了解老年人特点的基础上,分析老年人交互式产品的设计原则,总结老年人健身器材设计现状,并提出老年人健身器材交互设计的方法,希望对解决当今社会老龄化问题有一定的推动作用。     

人工蜂群算法的一种改进

人工蜂群算法作为一种新生代的优化算法,近年来在众多科学领域中表现出一定的优势,但是其收敛速度并不高效,并且容易过早地陷入局部最优。首先通过对适应度选择进行改进,提高算法的收敛速度,同时结合模拟退火算法,一定程度上避免过早陷入局部最优。最后用一组基准函数进行实验,证明改进后的人工蜂群算法有更好的优化性能。     

飞机压力加油系统节流孔径优化控制策略研究

基于飞机地面压力加油系统管路模型，本文采用高级遗传算法（RGA）的排序选择及随机交换算法，在满足管路最大冲击压力及满油时间差的约束条件下，经全局搜索优化策略，得到优化后适应度最佳的节流孔径，试验研究的结果验证了该方法的可行性和有效性。     

基于非结构化控制流的进化测试方法

结构性测试中,进化测试是一种高效的自动生成高质量测试用例的技术.然而,当程序中出现非结构化特征时,在面向节点的测试标准下,其效率极其低下甚至不及随机测试生成方法.在考虑循环体内部出现跳转(goto、retum)语句的情况下,提出了一种适应度计算方法.该方法在结合传统进化测试适应度计算的基础上,充分考虑了循环次数对于进化搜索的影响.实验结果表明,本适应度函数可以很好地引导进化搜索,并以较小的代价生成测试用例.     

基于遗传算法的Peer to Peer路由算法R GA*

路由算法是制约PeertoPeer 系统整体性能的关键因素之一。目前大多数路由算法无法保证全局收敛,而链路延迟、费用、网络带宽等现实制约因素往往在选路时被忽略。针对上述问题,提出了基于遗传算法的RGA路由算法。通过适度函数和遗传因子,RGA可以快速地实现全局收敛。同时将链路的延迟、费用、带宽等参数插入到适度函数中, 避免了盲目路由。仿真试验的结果表明,RGA路由算法在大规模PeertoPeer系统中是高效和可扩展的。     

Modified harmony search optimization for constrained design problems

Constrained optimization is a major real-world problem. Constrained optimization problems consist of an objective function subjected to both linear and nonlinear constraints. Here a constraint handling procedure based on the fitness priority-based ranking method (FPBRM) is proposed. It is embedded into a harmony search (HS) algorithm that allows it to satisfy constraints. The HS algorithm is conceptualized using the musical process of searching for a perfect state of harmony. Here, the original heuristic HS was improved by combining both improved and global-best methods along with the FPBRM. The resulting modified harmony search (MHS) was then compared with the original HS technique and other optimization methods for several test problems.     

An improved simplex-based adaptive evolutionary digital filter and its application for fault detection of rolling element bearings

The de-noising performance and convergence behavior of the adaptive evolutionary digital filter (EDF) are restricted by the factors of constant evolutionary coefficients and taking the reciprocal of average energy of residual signal as the fitness function. In this paper, an improved adaptive evolutionary digital filter based on the simplex method (EDF-SM) is proposed to overcome the shortcomings of the original EDF. A new evolutionary rule was constructed by introducing the simplex-based mutating method and by then combining this with the original cloning and mating methods. The reciprocal of sample entropy was taken as the fitness function and variable evolutionary coefficients were employed. Numerical examples show that the proposed EDF-SM exhibits a higher convergence rate and a better de-noising behavior than the other EDFs. The effectiveness of the proposed method in discovering fault characteristics and detecting faults of rolling element bearings is supported using an experimental test.     

Assessing Chinese coach drivers’ fitness to drive: The development of a toolkit based on cognition measurements

Road traffic accidents resulting in group deaths and injuries are often related to coach drivers’ inappropriate operations and behaviors. Thus, the evaluation of coach drivers’ fitness to drive is an important measure for improving the safety of public transportation. Previous related research focused on drivers’ age and health condition. Comprehensive studies about commercial drivers’ cognitive capacities are limited. This study developed a toolkit consisting of nine cognition measurements across driver perception/sensation, attention, and reaction. A total of 1413 licensed coach drivers in Jiangsu Province, China were investigated and tested. Results indicated that drivers with accident history within three years performed overwhelmingly worse (p < 0.001) on dark adaptation, dynamic visual acuity, depth perception, attention concentration, attention span, and significantly worse (p < 0.05) on reaction to complex tasks compared with drivers with clear accident records. These findings supported that in the assessment of fitness to drive, cognitive capacities are sensitive to the detection of drivers with accident proneness. We first developed a simple evaluation model based on the percentile distribution of all single measurements, which defined the normal range of “fit-to-drive” by eliminating a 5% tail of each measurement. A comprehensive evaluation model was later constructed based on the kernel principal component analysis, in which the eliminated 5% tail was calculated from on integrated index. Methods to categorizing qualified, good, and excellent coach drivers and criteria for evaluating and training Chinese coach drivers’ fitness to drive were also proposed.     

导高职学生走进健身广场提升运动技能的探析

学校体育工作不仅是教育事业的有机组成部分,而且是全民健身事业的重要内容,还是全体公民终身体育的教育基础,为了使学生全面适应社会的发展,跟上时代的步伐,我们必须开发有效的学习手段来增强学生的学习能力,以适应现代教学需要和社会的需求。