基于个体经验的信任模型研究

为了提高分布式网络中各节点信任评价的准确度,提出了一种基于个体经验的信任模型.该模型通过引入经验因子和相对经验因子的方法,建立了新的信任评价体系.这种新的信任评价体系考虑了个体节点的差异问题,在计算节点的信任值时考虑了节点间的交互历史,这在一定程度上解决了由于节点的非对称性而导致的信任评价不准确的问题.算法分析表明:新模型能够针对不同的个体节点,采用不同的最大容忍评价偏差,并且对个体节点的反馈可信度进行更新时,采用不同的更新值,体现了节点的个性化特征,使信任评价更加准确合理.此外,所提出的新算法能够运用到多种信任模型中,具有很好的可扩展性.     

基于文献引证关系的数字图书馆协同推荐系统

协同过滤算法应用于数字图书馆推荐系统有诸多优点,然而在系统启动初期存在最初评价问题和数据稀疏问题。针对这些情况,提出引入文献引证关系于数字图书馆协同过滤算法。文献引证关系能够较好的反映文献作者对参考文献、引证文献的兴趣评价。基于文献引证关系的数字图书馆协同过滤算法引入作者的文献评价信息,解决了协同过滤算法固有的问题。实验结果表明,该算法能有效地提高系统的推荐质量。     

流约束通讯网络可靠度的一个新算法

提出了流约束通讯网络的一个快速有效算法，系统是可靠的当且仅当特殊指定的流能从源点传递到汇点，中算法与传统算法有所区别，将传统的两阶段算法转化为一阶段算法，算法Ⅰ以任何一个有效组为初始有效组，所有的有效组都可以从此初始有效组中生成，且由此生成的所有有效组彼此不交，算法Ⅱ是第一个算法的对偶算法，同时中给出一个反例表明[8]中算法会遗漏有效组。     

Adaptive resource allocation algorithm for internet of things with bandwidth constraint

In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things(IoT) and ensure the system stability,an adaptive resource allocation algorithm is proposed,which dynamically assigns the network bandwidth and priority among components according to their signals’ frequency domain characteristics.A remote sensed and controlled unmanned ground vehicle(UGV) path tracking test-bed was developed and multiple UGV’s tracking error signals were measured in the simulation for performance evaluation.Results show that with the same network bandwidth constraints,the proposed algorithm can reduce the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.     

Elevator group-control policy based on neural network optimized by genetic algorithm

Aiming at the diversity and nonlinearity of the elevator system control target, an effective group method based on a hybrid algorithm of genetic algorithm and neural network is presented in this paper. The genetic algorithm is used to search the weight of the neural network. At the same time, the multi-objective-based evaluation function is adopted, in which there are three main indicators including the passenger waiting time, car passengers number and the number of stops. Different weights are given to meet the actual needs. The optimal values of the evaluation function are obtained, and the optimal dispatch control of the elevator group control system based on neural network is realized. By analyzing the running of the elevator group control system, all the processes and steps are presented. The validity of the hybrid algorithm is verified by the dynamic imitation performance.     

电网连锁跳闸事件中的关键节点研究

对电网连锁跳闸事件中的关键节点进行研究,提出一种分析关键节点的算法。结合连锁跳闸事件中继电保护的动作行为,给出一种连续型的用以衡量连锁跳闸严重度的表达形式及评价参量,并根据直流潮流法,利用支路电流和节点注入功率之间关系,进一步明确连锁跳闸严重度评价参量与节点注入功率之间的关系,以及连锁跳闸严重度评价参量对节点注入功率的灵敏度,在此基础上,形成了一套完整的算法,用以分析可引发连锁跳闸的初始故障,被初始故障波及的连锁跳闸支路,并最终用以分析对连锁跳闸支路起关键作用的节点。最后,在IEEE39节点系统上通过算例对该算法的有效性和合理性进行进一步说明。     

Threat modeling-oriented attack path evaluating algorithm

In order to evaluate all attack paths in a threat tree,based on threat modeling theory,a weight distribution algorithm of the root node in a threat tree is designed,which computes threat coefficients of leaf nodes in two ways including threat occurring possibility and the degree of damage.Besides,an algorithm of searching attack path was also obtained in accordence with its definition.Finally,an attack path evaluation system was implemented which can output the threat coefficients of the leaf nodes in a target threat tree,the weight distribution information,and the attack paths.An example threat tree is given to verify the effectiveness of the algorithms.     

层次分析法（AHP）中生成判断矩阵简易算法及其应用

对于层次分析法(AHP)的生成判断矩阵,提出简易算法,只需仔细判断出第1列元素,据此可逻辑判断出其余列的元素,并有较满意的一致性;同时,以优秀射击运动员选材为实例,建立了评价指标体系,确定了30项具体的评价指标;根据专家咨询所提供的判断矩阵,得到各层中诸因素的相对权重及其对总目标的影响大小.     

一种基于调节器输出饱和非线性的PI控制算法

分析了过程控制系统存在调节器饱和现象的调节过程的特点，并且推导出这种调节过程所遵循的规律。设计了一种基于调节器输出饱和的PI控制算法，该算法实现了系统退饱和点的控制，并在液位系统中对算法进行了验证。结果证明该方法对系统的输出饱和具有良好的适应性。并且能够充分利用调节器功能，改善系统饱和时的动态过程。