TRIZ理论与KANO模型的集成研究

在简单介绍TRIZ理论和KANO模型的基础上，建立了TRLZ理论与KANO模型的集成模型，给出了集成后的工作流程。讨论了基本质量与预期失效分析、工作质量与经典TRLZ工具、兴趣质量与直接进化理论之间的相互关系，以及三种工具与三种类型的质量进行集成的具体方法。     

基于Sage-Hus a方法的旋翼姿态控制

针对传统IM U传感器信息融合方法对外界信息变化不敏感等问题,在分析陀螺仪噪声特性并建立基于A RM A模型的卡尔曼滤波器抑制陀螺仪随机噪声的基础上,将基于Sage‐Husa方法的卡尔曼滤波器作为信息融合算法,增强姿态解算系统的自适应性。为提高Sage‐Husa算法容错性能,提出一种加速度计可信性条件,根据总加速度与重力幅值、方向上的差异来判定是否进行姿态融合。在基于ARM Cortex M4内核的嵌入式系统上实现姿态解算和姿态控制系统,在自制四旋翼飞行器半实物仿真平台上进行的实验结果表明,以上方法降低了姿态静态及动态解算误差,提高了姿态系统状态的跟踪性和适应性,满足复杂运动环境下姿态控制的需求。     

葡萄糖的测定方法与应用研究进展

葡萄糖是维持生物体生命、促进生物体生长必须的一种营养成分,葡萄糖的含量测定在发酵、制药、临床诊断等领域具有重要的作用.简要介绍了葡萄糖在生物体中的作用,并详细综述了近年来测定葡萄糖的方法及其在实际应用中的研究进展.最后,对葡萄糖测定方法的的未来发展趋势进行了展望.     

确定河流生态流量的几种湿周法比较

为比较不同湿周法在计算河流生态流量中的适用性,采用幂函数描述无量纲化的湿周～流量关系,利用曲率法、斜率法及多目标评价法中的线性加权和法、理想点法(尺度系数r分别取1,2,∞)、乘除法等7种方法计算河流生态流量。结果表明:曲率法的结果偏小;斜率法、理想点法(r=1)、线性加权和法的结果相同,且位于各方法的中间;另外3种多目标评价方法得到的河流生态流量大于斜率法等的结果,但湿周的增加比例明显小于流量增加比例。在湿周～流量关系符合幂函数关系时,利用斜率法或理想点法(r=1)、线性加权和法确定河流生态流量的方法是适宜的。     

Enhancing the accuracy of WLAN-based location determination systems using predicted orientation information

Indoor location determination has emerged as a significant research topic due to the wide-spread deployment of wireless local area networks (WLANs) and the demand for context-aware services inside buildings. However, prediction accuracy remains a primary issue surrounding the practicality of WLAN-based location determination systems. This study proposes a novel scheme that utilizes mobile user orientation information to improve prediction accuracy. Theoretically, if the precise orientation of a user can be identified, then the location determination system can predict that user’s location with a high degree of accuracy by using the training data of this specific-orientation. In reality, a mobile user’s orientation can be estimated only by comparing variations in received signal strength; and nevertheless the predicted orientation may be incorrect. Incorrect orientation information causes the accuracy of the entire system to decrease. Therefore, this study presents an accumulated orientation strength algorithm which can utilize uncertain estimated orientation information to improve prediction accuracy. Implementation of this system is based on the Bayesian model, and the experimental results indeed show the effectiveness of our proposed approach.     

Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network

Rainfall forecasting plays many important role in water resources studies such as river training works and design of flood warning systems. Recent advancement in artificial intelligence and in particular techniques aimed at converting input to output for highly nonlinear, non-convex and dimensionalized processes such as rainfall field, provide an alternative approach for developing rainfall forecasting model. Artificial neural networks (ANNs), which perform a nonlinear mapping between inputs and outputs, are such a technique. Current literatures on artificial neural networks show that the selection of network architecture and its efficient training procedure are major obstacles for their daily usage. In this paper, feed-forward type networks will be developed to simulate the rainfall field and a so-called back propagation (BP) algorithm coupled with genetic algorithm (GA) will be used to train and optimize the networks. The technique will be implemented to forecast rainfall for a number of times using rainfall hyetograph of recording rain gauges in the Upper Parramatta catchment in the western suburbs of Sydney, Australia. Results of the study showed the structuring of ANN network with the input parameter selection, when coupled with GA, performed better compared to similar work of using ANN alone.     

鸟嘌呤和8-羟基脱氧鸟嘌呤核苷在聚甘氨酸修饰电极上的电化学行为及其同时测定

在优化的实验条件下,利用电化学方法制备了甘氨酸修饰电极,对修饰膜的电活性进行了表征.用循环伏安法研究了鸟嘌呤(G)和8一羟基脱氧鸟嘌呤核苷(8-OH-dG)在聚甘氨酸修饰电极上的电化学行为,并建立了对两者进行分别检测和同时检测的分析方法.实验结果表明,聚甘氨酸修饰电极可以增强鸟嘌呤和8-羟基脱氧鸟嘌呤核苷在电极表面的吸附,并且可以加快鸟嘌呤和8-羟基脱氧鸟嘌呤核苷在电极表面的电子传输,使两种电活性物质在聚甘氨酸修饰电极上的电化学信号明显增大,检测灵敏度大大提高,并且该修饰电极具有良好的稳定性和重现性.可用于鸟嘌呤和8-羟基脱氧鸟嘌呤核昔的分别和同时检测.     

改进的猴王遗传算法求解组合拍卖最优竞胜标

应用遗传算法求解第一价格封闭组合拍卖问题,编码及约束条件复杂,在交叉和变异的过程中容易产生大量不可行解,并且在选择和精英保留中,一些局部最优点(早熟点)对应的个体容易被大量复制,使群体多样性下降。该文就以上的问题,改进了原有遗传算法求解组合拍卖最优竞胜标的方法,并采用了猴王遗传算法的精英保留策略。实际计算证明本算法编码方式自然并且直观表达了个体和标的的关系。在交叉和变异算子中,产生不可行解的数量下降,更积极的保存了上一代进化的部分成果。而改进猴王遗传算法的精英保留策略,使算法能够以高概率跳出早熟,达到算法速度与准确的平衡。     

基于X射线脉冲星导航系统探测器研究

综述了基于X射线脉冲星导航系统探测器的原理,分析了现有的几种不同类型探测器的性能、测时特点和应用的局限性;给出了由多只探测器组成的探测器系统的原理设计,并分析了探测器系统的构成、安装方式以及处理电路;阐述了X射线脉冲星导航系统探测器在航天器导航中的应用以及国外应用先例,为基于X射线脉冲星导航系统探测器的研制提供有用的参考。     

微波谐振腔谐振频率实时测量系统的实现

微波谐振腔具有很高的品质因数,因而灵敏度很高;谐振频率是谐振腔最重要的参数,通过对谐振腔谐振频率的测量是目前为止最快速、最有效的湿度测量方法.本文提出了一种对单端开口同轴微波谐振腔的谐振频率测量方法,并设计了系统的具体实现.通过实时检测谐振腔耦合出来的输出功率的最大值,测量在该最大值点对应的频率值,从而快速得到谐振频率的大小.实验证明,该系统具有高灵敏性和高精确度,适合工业的在线应用.