一种基于聚类的云计算任务调度算法

任务调度是云计算中的一个关键问题.针对 Min-Min 算法负载不平衡的缺点,引入 K-means 聚类,提出一种基于 K-means 聚类和 Min-Min 的云计算任务调度的新算法.该算法采用 K-means 聚类方法依据任务长度对任务聚类进行预处理,然后根据 Min-Min 算法的机制进行任务调度.仿真结果表明,该算法具有较好的负载均衡性和系统性能.     

多功能电子防丢器的设计与实现

随着现代生活节奏的加快,人们遗失东西的现象经常发生,防遗失产品也就应运而生．文中设计并实现了一款多功能电子防丢器,它由母机和子机两部分组成,子机置于防丢物品上,母机由主人随身携带,具有防丢和寻找功能．子机留有的外接插孔可与其他传感器设备相连,构成相应的防盗报警系统．电路主要采用集成芯片制作,所以具有电路简单,工作性能稳定,功耗及成本低等优点．     

基于有限元强度折减法的双孔并行隧道间距设计优化研究

研究双孔并行隧道双洞间距对隧道围岩稳定性的影响,根据有限元强度折减法数值模拟计算得到的不同线间距条件下的隧道安全系数和围岩及支护结构内力、位移、塑性区的结果分析,对嵩山隧道的线间距进行了优化设计,确定了最佳、最小线间距.     

Fault diagnosis model based on fuzzy support vector machine combined with weighted fuzzy clustering

A fault diagnosis model is proposed based on fuzzy support vector machine (FSVM) combined with fuzzy clustering (FC).Considering the relationship between the sample point and non-self class,FC algorithm is applied to generate fuzzy memberships.In the algorithm,sample weights based on a distribution density function of data point and genetic algorithm (GA) are introduced to enhance the performance of FC.Then a multi-class FSVM with radial basis function kernel is established according to directed acyclic graph algorithm,the penalty factor and kernel parameter of which are optimized by GA.Finally,the model is executed for multi-class fault diagnosis of rolling element bearings.The results show that the presented model achieves high performances both in identifying fault types and fault degrees.The performance comparisons of the presented model with SVM and distance-based FSVM for noisy case demonstrate the capacity of dealing with noise and generalization.     

常用数值并行算法的研究与应用

本文详细的介绍了MPI并行程序编程实现和设计方法,针对常用数值进行并行运算求解,主要是解决了如何用布尔积求幂矩阵判断各顶点之间是否可达,同时推算出经过多少（个顶点）条边才能到达这两个问题。最后对并行程序进行测试分析,并总结了本论文所做的工作中的经验与不足,并指出需要继续研究的问题。     

简易网球自动发球机的研制与应用

针对网球训练的技术要求,研制了简易网球自动发球机,并对其基本结构、发球的频率、角度、力量等工作原理及性能特点进行了合理的分析。实验证明简易网球自动发球机对丰富教学手段,提高教学质量具有很好的实用价值和指导意义.     

调水工程的水资源调度数字化动态能力模型与实践

为有效应对数字化背景下调水工程水资源调度面临的多情境多主体共生带来的挑战,促进实现调水工程的价值协同。首先通过构建水资源调度知识生态系统来分析数字化动态能力的内涵及特征。其次,面对水资源调度的常态及应急环境,从全生命周期视角打开数字化动态能力生成逻辑的“黑箱”,进而揭示其运行机理。最后,以南水北调中线干线工程进行验证,揭示调水工程通过数字化动态能力的演化达到水资源调度的层次协同、关系协同和生态系统协同,以此为调水工程内部数字能力与外部环境的匹配提出对策建议,为其他调水工程的智慧化建设提供参考。     

自动化码头起重机和自带提升功能的AGV的集成调度

为深入研究新工艺带来的自动化码头设备集成调度问题,针对自动化码头的一种自带提升功能的自动导引小车(L-AGV)和缓冲支架系统,提出新的设备集成调度框架。考虑不同设备之间的相互关联和制约的协同关系,将岸桥分配调度与L-AGV、场桥调度分开,合理定义两种任务(两个问题)的划分方式,建立两个多目标混合整数规划模型。设计一种具有内外层关联的适应度函数的双层遗传算法。相对传统联合调度算法,该算法平衡了计算复杂性与调度均衡性。最后的数值试验证明了模型和算法的有效性。从岸桥数量、任务规模、AGV数量和调度策略等对岸桥等待时间的影响上,对采用L-AGV的系统和采用传统AGV的系统进行比较,为自动化码头装卸作业调度提供决策支持。     

自动化集装箱码头自动导引小车与轨道式龙门起重机的协同调度

为解决自动导引小车(Automated Guided Vehicle,AGV)与轨道式龙门起重机(Rail-Mounted Gantry Crane,RMG)的协同调度问题,考虑AGV和RMG的任务分配约束,以卸船作业最小完工时间为目标,建立混合整数规划(Mixed Integer Programming,MIP)模型.改变AGV,岸桥和箱区数量的配置,得出不同条件下的完工时间.对该问题设计两组算例:小规模算例采用CPLEX软件和遗传算法(Genetic Algorithm,GA)分别进行求解,通过结果对比验证GA的有效性;大规模算例采用GA求解,给出自动化码头设备调度优化方案.分析结果表明,卸船完工时间随着卸船任务量的增加而增加,随着AGV,岸桥和箱区数量的增加而减少,且AGV和岸桥数量的增加对完工时间的影响大于箱区数量的增加时完工数量的影响.     

Assessment of leg muscles mechanical capacities: Which jump,loading, and variable type provide the most reliable outcomes?

This study aimed to explore the strength of the force–velocity (F–V) relationship of lower limb muscles and the reliability of its parameters (maximum force [F₀], slope [a], maximum velocity [V₀], and maximum power [P₀]). Twenty-three men were tested in two different jump types (squat and countermovement jump: SJ and CMJ), performed under two different loading conditions (free weight and Smith machine: Free and Smith) with 0, 17, 30, 45, 60, and 75?kg loads. The maximum and averaged values of F and V were obtained for the F–V relationship modelling. All F–V relationships were strong and linear independently whether observed from the averaged across the participants (r?≥?0.98) or individual data (r?=?0.94–0.98), while their parameters were generally highly reliable (F₀ [CV: 4.85%, ICC: 0.87], V₀ [CV: 6.10%, ICC: 0.82], a [CV: 10.5%, ICC: 0.81], and P₀ [CV: 3.5%, ICC: 0.93]). Both the strength of the F–V relationships and the reliability of their parameters were significantly higher for (1) the CMJ over the SJ, (2) the Free over the Smith loading type, and (3) the maximum over the averaged F and V variables. In conclusion, although the F–V relationships obtained from all the jumps tested were linear and generally highly reliable, the less appropriate choice for testing the F–V relationship could be through the averaged F and V data obtained from the SJ performed either in a Free weight or in a Smith machine. Insubstantial differences exist among the other combinations tested.