基于JN5148和LabVIEW的水质监测系统

提出了一种基于JN5148和LabVIEW的水质监测系统,实现了对水质多参数的实时监测,并对系统的硬件和软件分别进行了分析和设计。本系统主要采用了JN5148单芯片作为处理器,使用Zig BeePRO协议栈作为网络通信协议。利用RS—232串口使下位机与上位机相连,在上位机中采用LabVIEW软件设计了可视化的人机界面,给系统的调试和网络的检测提供了极大的方便。经过实验证明:本系统对水样的多参量采集的实时性和准确性比较高。     

An Artificial Bee Colony algorithm with guide of global & local optima and asynchronous scaling factors for numerical optimization

Artificial Bee Colony (ABC) algorithm is a wildly used optimization algorithm. However, ABC is excellent in exploration but poor in exploitation. To improve the convergence performance of ABC and establish a better searching mechanism for the global optimum, an improved ABC algorithm is proposed in this paper. Firstly, the proposed algorithm integrates the information of previous best solution into the search equation for employed bees and global best solution into the update equation for onlooker bees to improve the exploitation. Secondly, for a better balance between the exploration and exploitation of search, an S-type adaptive scaling factors are introduced in employed bees’ search equation. Furthermore, the searching policy of scout bees is modified. The scout bees need update food source in each cycle in order to increase diversity and stochasticity of the bees and mitigate stagnation problem. Finally, the improved algorithms is compared with other two improved ABCs and three recent algorithms on a set of classical benchmark functions. The experimental results show that the our proposed algorithm is effective and robust and outperform than other algorithms.     

蜂群算法求解资源受限项目调度问题及仿真

蜂群算法作为一种较为新颖的启发式算法已经在多种类型的优化问题求解过程中表现了优秀的性能.针对蜂群算法在项目调度问题中的模型求解资源受限的问题,提出对求解方法进行改进,采用人工蜂群算法和蜂群优化算法两类典型的蜂群算法,对资源受限项目调度问题进行优化设计,并在benchmark上进行仿真并与传统的调度优化算法进行比较.实验结果表明,新设计的两类蜂群算法在调度成功率和收敛速度方面均有更好表现,人工蜂群算法求解的质量方面更优,蜂群算法在收敛速度上更具有优势.     

基于WSNs和移动Agent的桥梁结构健康监测研究

针对桥梁结构大而复杂、传感器数目种类多、损伤形式多样等特点,引用无线传感器网络（WSNs）和移动Agent技术。以实际桥梁结构为研究对象,采用以CC2530为核心的无线传感器节点采集桥梁结构相关数据;利用移动Agent的移动性,迁移和访问网络节点,完成对节点数据的收集和处理;运用ZigBee无线通信协议将数据传送至网关节点加以处理;通过GPRS无线通信方式将最终数据送至监测中心,确定桥梁的健康状况。结果表明：该系统符合设计要求,且监测数据可靠,具有应用和推广价值。     

基于ZigBee和RFID的环形流水线监测系统设计

针对环形流水线上数据采集和工序状态问题,由于环形流水线布线难、繁复,构建了基于ZigBee无线传感器网络与射频识别（RFID）技术的环形流水线数据采集与监控系统。详细介绍系统软件和硬件设计。使用片上系统芯片CC2530F256实现z培Bee无线模块设计,RFID信息识别确定工序状态。通过ZigBee传感器网络实现信息传输。实验结果表明：该系统能够满足环形流水线数据采集和监控要求。     

蛋白质相互作用网络的蜂群信息流聚类模型与算法

蛋白质相互作用网络的聚类算法研究是充分理解分子的结构、功能及识别蛋白质的功能模块的重要方法.很多传统聚类算法对于蛋白质相互作用网络聚类效果不佳.功能流模拟算法是一种新型聚类算法,但该算法没有考虑到距离的作用效果并且需要人为地设置合并阈值,带有主观性.文中提出了一种新颖的基于蜂群优化机理的信息流聚类模型与算法.该方法中,数据预处理采用结点网络综合特征值的排序来初始化聚类中心,将蜂群算法的蜜源位置对应于其聚类中心,蜜源的收益度大小对应于模块间的相似度,采蜜蜂结点的所有邻接点按照结点网络综合特征值的降序排列,作为侦察蜂的搜索邻域.采用正确率、查全率等指标对聚类效果做出客观评价,并对算法的一些关键参数进行仿真、对比与分析.结果表明新算法不仅克服了原功能流模拟算法的缺点,且其正确率和查全率的几何平均值最高,能够有效地识别蛋白质功能模块.     

Antioxidant activity of Sonoran Desert bee pollen

Bee pollen (pollen collected by honey bees) was collected in the high intensity ultraviolet (UV) Sonoran Desert and analyzed by the DPPH (radical 2,2-diphenyl-1-picryhydrazyl) assay and the FRAP (ferric reducing-antioxidant power) assay on six different pollen samples and in eight different water miscible solvents at 50 mg/ml. The bee pollen taxa were characterized for each pollen type by acetylization of the pollen extracts followed by microscopy and comparison with a library of samples native to the Sonoran Desert. The standards (R-(+)-6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid), known as TROLOX, gallic acid and α-tocopherol (vitamin E) were analysed as standards to determine the potency of each pollen sample in the most efficient solvent. The Mimosa pollen sample displayed the highest antioxidant activity. Total polyphenolics, flavanols, flavones were determined, and the results are reported in milligrams of gallic acid, quercetin and naringenin per gram of pollen, respectively. There was good correlation between antioxidant activity and total phenolics. The order of effectiveness of the pollen samples in regard to antioxidant activity was determined and the most effective extraction solvents are discussed. Finally, solid phase micro-extraction, coupled with gas chromatography–mass spectroscopy was utilized to identify and quantify polyphenolic compounds known to have free radical scavenging activity in the pollen samples.     

The Bisection–Artificial Bee Colony algorithm to solve Fixed point problems

In this paper, we introduce a novel iterative method to finding the fixed point of a nonlinear function. Therefore, we combine ideas proposed in Artificial Bee Colony algorithm (Karaboga and Basturk, 2007) and Bisection method (Burden and Douglas, 1985). This method is new and very efficient for solving a non-linear equation. We illustrate this method with four benchmark functions and compare results with others methods, such as ABC, PSO, GA and Firefly algorithms.