A platform for P2P agent-based collaborative applications

The operational environment can be a valuable source of information about the behavior of software applications and their usage context. Although a single instance of an application has limited evidence of the range of the possible behaviors and situations that might be experienced in the field, the collective knowledge composed by the evidence gathered by the many instances of a same application running in several diverse user environments (eg, a browser) might be an invaluable source of information. This information can be exploited by applications able to autonomously analyze how they behave in the field and adjust their behavior accordingly. Augmenting applications with the capability to collaborate and directly share information about their behavior is challenging because it requires the definition of a fully decentralized and dependable networked infrastructure whose nodes are the user machines. The nodes of the infrastructure must be collaborative, to share information, and autonomous, to exploit the available information to change their behavior, for instance, to better accommodate the needs of the users to prevent known problems. This paper describes the initial results that we obtained with the design and the development of an infrastructure that can enable the execution of collaborative scenarios in a fully decentralized way. Our idea is to combine the agent-based paradigm, which is well suited to design collaborative and autonomous nodes, and the peer-to-peer paradigm, which is well suited to design distributed and dynamic network infrastructures. To demonstrate our idea, we augmented the popular JADE agent-based platform with a software layer that supports both the creation of a fully decentralized peer-to-peer network of JADE platforms and the execution of services within that network, thus enabling JADE multiagent systems (MASs) to behave as peer-to-peer networks. The resulting platform can be used to study the design of collaborative applications running in the field.     

由可见光谱视频中提取心率的对角累积量法

由于使用经典的联合近似特征对角化(JADE)算法从视频中估计光电容积脉搏波(Photoplethysmography,PPG)信号,再经快速傅里叶变换转化成的心率值与真实心率值的误差较大,本文提出使用基于对角累积量算法从视频中分离PPG信号,再经过快速傅里叶变换转换成心率的方法来提高心率测量的准确性。进行了从RGB彩色可见光视频信号中恢复心率值的实验。对比实验表明,基于对角累积量分离算法所得心率值与真实心率值差的绝对值的统计特征参数较JADE算法均有所降低,均值、标准差、均方根误差平均分别下降1.46,4.98和4.49。通过Bland-Altman图的分析表明,在95%的置信区间内,对角累积量算法所得心率的浮动范围较JADE算法减小了2倍以上,显示对角累积量算法具有更高的估计精度,对肤色亮度和外界自然光的要求更低,通过调整参数值,可使运行时间控制在1s之内,基本满足实时提取心率的要求。     

JADE平台粒子群算法在环境经济调度中的应用

在环境经济调度模型中,为同时降低火电机组的燃料成本和污染气体排放量进行多目标优化,模型引入阀点效应并考虑网损,在满足功率平衡和出力限制的前提下,采用一种基于JADE平台下的粒子群多目标优化算法对模型进行求解。算法吸收了粒子群算法的进化机制,将Pareto占优策略和拥挤距离相结合并应用在粒子群算法中,添加了动态惯性权重特性和小概率变异,提高了算法全局搜索能力。在JADE平台下搭建算法模型,并运用IEEE-30节点6机组和IEEE-118节点40机组的标准测试系统进行仿真,结果表明该算法提高了系统的计算速度,改进了算法的并行性,更适合求解大规模复杂系统。     

Virtual approach to holonic control of the tyre-manufacturing system

Tyre manufacturers aiming to remain competitive in complex modern markets must promptly adjust to the changes within the production environment. With traditional tyre-manufacturing systems, a slow response during optimization of the manufacturing process and low-level adaptability to system disturbances is evident. The presented approach to virtual holonic control of the tyre-manufacturing system enables dynamic response in the event of new optimization demands, decrease of the impact of disturbances on system productivity and smaller future investments in the manufacturing equipment.     

基于Agent的SYN Flood攻击仿真

针对分布式SYN Flood攻击的特点,采用多Agent的方法对其进行建模仿真,通过构建系统整体框架,分析A—gent通信和行为的具体实现,最后基于JADE平台构建了一个多Agent的SYN Flood攻击仿真系统,解决了从底层开发该类型的仿真系统存在难度大、周期长的问题,为一些耗时的网络对抗进行反复研究提供了一种方法。     

JADE算法在反演地球化学元素组合中的应用

根据盲源分离的原理及其化探数据的高度非线性性,提出了一种关于JADE算法处理化探数据的新方法,这种方法能有效地反演地球化学元素组合.与传统的方法相比,新方法能更好的适应化探数据的高度非线性性,能更好地圈定地球化学异常及异常浓度中心.利用这种方法对西藏某地区1∶20万土壤地球化学测量数据进行了处理,圈定出了传统方法不能圈定出的弱异常,所圈定的异常和矿化分布与实际情况基本一致.     

基于JADE平台的智能配电网自愈系统设计

智能配电网包括高级配电自动化网络、分布式能源和新型电力电子装置等,而拥有故障自愈系统的配电网是高级配电自动化的重要硬软件基础。为响应分布式能源的不确定性和地域分布性,进而实现智能配电网的自愈控制,在经典代理模型基础上,提出并建立基于多代理系统（MAS）的分层控制结构、自愈控制策略和节点评估法。最后结合BDI“意图”模型和代理开发平台（JADE）与Matlab-Simulink平台,模拟33节点系统接地故障时不同级代理间以及同级代理间的通信过程和动作过程,并自动实现了失电区域的供电恢复,验证了自愈系统的有效性。     

基于扩展码滤波法的联合角度-时延估计

针对异步DS-CDMA系统中的多用户环境,本文提出了一种低复杂度的联合角度一时延估计算法。该算法 由时延检测,路径分离及角度估计三部分组成。首先,本文基于扩展码滤波法构造了一个时延估计新测度,并通过搜索该 测度的最大值来检测时延信息;然后,借助时延信息实现路径分离;最后,采用无需特征值分解运算的矩阵点除算法,从 分离的感兴趣信息中快速求取角度信息。算法具有计算量极低,估计精度较高以及自动实现角度与时延匹配等优点。仿真 实验验证了算法的有效必。     

基于JADE的和差四通道抗多主瓣干扰算法

强压制干扰出现在雷达主瓣内时,雷达的探测效能会受到严重影响。对此,提出了基于矩阵联合对角化（Joint Approximation Diagonalization, JADE）的和差四通道抗多主瓣压制干扰算法。新方法利用JADE算法通过对和差四通道接收到的混合信号进行盲分离,然后对分离后的4个通道进行脉压处理,最后进行峰值检测以提取目标回波信息,从而有效抑制多主瓣压制干扰。仿真结果表明,该方法在主瓣干扰位于1/10个波束宽度时依然有效,性能比空域自适应处理方法有明显改善。     

基于多智能体的监控与故障诊断技术及其应用

基于多智能体平台的系统开发，已经成为多智能体技术能否应用到各领域的关键，通过对多智能体开发平台的选择，提出了基于JADE平台的多智能体实时诊断与监控系统，讨论了诊断智能体模型与诊断机理，以及多智能体的ACL通信语言，该系统能够完成诊断测试任务，并达到要求的性能指标。