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This system mainly contains the front-end pulse interception and back-end software analysis. In the first part, we used a non-invasive infrared measurement method based on the dual channel simultaneous measurement technique. We measured the photo-plethysmograph from the subject's fingers and toes simultaneously, then used an analog circuit and central control unit to process the signals. Finally, the digital volume pulse data is processed by a personal computer. Because the characteristic points of digital volume pulse always occur in sharp variations, this paper proposes two algorithms to solve this problem. First, we find the pacemaker and percussion wave peak from transient slope variation, and then locate the dicrotic notch and dicrotic wave peak by using the wavelet transformation algorithm. When we analyze the data, we use the Visual Basic graphical user interface, which together with the Matlab is the core of the system.

本系统主要包含前端脉波撷取及后端软体分析两部分,其中前端脉波撷取部份是以非侵入式的红外线量测方式,双通道同步量测受测者手指与脚趾的光容积变化描记图,同时将此讯号经类比处理电路及中央控制单元输出成为数位容积波,再传送至个人电脑中;而在后端软体分析部份,因数位容积波之特徵点皆出现於波形中急剧变化的部份,故本论文以瞬间斜率变化量来定位脉波讯号中的起搏点及主波峰顶点,并利用小波转换演算法(wavelet transformation algorithm)来分析重搏切迹与重搏波顶点;程式撰写主要以Matlab为核心,结合Visual Basic的图形化使用者操作介面,增加系统与使用者间的亲和力。

Ant routing use Swarm-Intelligence for route discovery and also have multi-paths for backup and balance. However, the efficiency of ant routing can more and more go down in large-scale mobile ad hoc networks. For solving such condition, improving the efficiency of ant routing, this research proposes the algorithm that combines both the GRID and ant routing, called grid-based ant routing algorithm. GARA can improve efficiency of ant routing in large-scale mobile ad hoc networks.

对於解决路由上的一些问题,也因此有各种不同类别的路由方法被探讨,蚂蚁路由演算法利用群体智慧(swarm-intelligence)找寻路径,而且同时能够找到多条备援路径,但是,蚂蚁路由演算法会因为行动主机数目愈来愈多情况下,而导致路由演算法效率降低,因此本论文以GRID为概念,融入蚂蚁演算法中,让蚂蚁是采用网格对网格(grid-by-grid)方式传输,改善蚂蚁路由演算法在行动主机数目愈来愈多情况下的效率与效能。

The present study was to construct a computer simulation system to investigate the dynamic load-balancing problem in heterogeneously distributed systems through self-organizing and evolutionary learning algorithms.

本研究主要是以电脑系统模拟方式,利用进化式学习演算法,透过自主式的学习方式,搭配不同网路拓朴,从动态的环境里,探讨异质分散式系统之「动态负载平衡」问题。

It is shown that 1 IGA is efficient enough to solve subproblems; 2 IGA is significantly superior to the existing method SPXGA; and 3 iTEA performs well in inferring S-system models for dynamic pathway identification.

实验结果显示:(1) IGA 能够有效地解决含有含有 2(N +1)调控参数的子问题;(2)相较於前人所采用 SPXGA 演算法,IGA 明显具有更好的最佳化搜寻能力;(3) iTEA 能够有效率地解决S-system 基因调控网路模型的重建问题。

Therefor APSO and DES framework can not only find the better solution but also use fewer iterant times.

所以本研究所提出的演算法,不仅在找到新的最佳解上有好的效能表现,在代数的快速收敛上也有好的效率表现。

In the image of matching colors monochromatically from traditional color science have appraised by other researchers, and the researchs in the relevant respect used Fuzzy Theroy , Gray-System Theroy , Kansei Engineering , Neural Network, etc.

由传统的色彩学中就单色与配色的意象方面已经有学者做过概略性的评价,在相关方面的研究应用有模糊理论、灰色理论、感性工学、类神经遗传演算法等。

Finally, the experimental results reveal that our proposed algorithm reduces up to 24% power dissipation for 64-to-1 MUX when compared to average power dissipation.

最后,实验结果显示我们提出的演算法在64对1多工器的情况下求出的功率消耗比平均功率消耗减少了24%。

Since our proposed estimating equation is a nondifferentiable function with respect to regression parameters, we also compare two root-finding algorithms for nondifferentiable function, bisection and Nelder-Mead methods, in this thesis.

此外,本文所提出的参数估计式为不可微函数,因此文中也会探讨解不可微函数的两段法和Nelder-Mead所提的方法等两种解根演算法

Besides, the advantages of both hierarchical clustering algorithm and partitional clustering algorithm are also incorporated into the ICA clustering algorithm.

此外,双方优势的阶层式聚类法和分割式聚类法也纳入区间式竞争分群演算法

To redue the high computational inherent in the MAP detector, we apply an efficiency algorithm called the list sphere decoding.

另外,为了降低MAP侦测本身庞大的计算量,我们在MAP侦测前预先使用了list sphere decoding演算法,以降低在MIMO讯号侦测上的运算复杂度。

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