基于密度的不确定数据离群点检测研究

针对不确定数据集进行离群点检测,设计了基于密度的不确定数据的局部离群因子(Uncertain Local Outlier Factor,ULOF)算法.通过建立不确定数据的可能世界模型来确定不确定对象在可能世界中的概率.结合传统的LOF算法推导出ULOF算法,根据ULOF值判断不确定对象的局部离群程度;然后对ULOF算法的效率性和准确性进行了详细分析,提出了基于网格的剪枝策略、k最近邻查询优化来减少数据的候选集;最后通过实验证明了ULOF算法对不确定数据检测的可行性和效率性,优化后的方法有效地提高了异常检测准确率,降低了时间复杂度,改善了不确定数据的异常检测性能.     

Modified particle swarm optimization and fuzzy regularization for pseudo de-convolution of spatially variant blurs

We propose a modified particle swarm optimization (MPSO) based method for Pseudo De-convolution of the ill-posed inverse problem namely, the space-variant image degradation (SVD). In this paper, SVD is simulated by the pseudo convolution of different sub-regions of the image with different known blurring kernels and additive random noise with unknown variance. Two heuristic modifications are proposed in PSO: 1) Initialization of the swarm and 2) Mutation of the global best. Fuzzy logic is applied for the computation of regularization parameter (RP) to cater for the sensitivity of the problem. The computation of RP is crucial due to the additive noise in the SVD image. Thus mathematical morphology (MM) is applied for better extraction of spatial activity from the distorted image. The performance of the proposed method is evaluated with different test images and noise powers. Comparative analysis demonstrates the superiority of proposed restoration, in terms of quantitative measures, over well-known existing and state-of-the-art SVD approaches.     

Voiced/non-voiced speech classification using adaptive thresholding with bivariate EMD

This paper introduces a robust voiced/non-voiced (VnV) speech classification method using bivariate empirical mode decomposition (bEMD). Fractional Gaussian noise (fGn) is employed as the reference signal to derive a data adaptive threshold for VnV discrimination. The analyzing speech signal and fGn are combined to generate a complex signal which is decomposed into a finite number of complex-valued intrinsic mode functions (IMFs) by using bEMD. The real and imaginary parts of the IMFs represent the IMFs of observed speech and fGn, respectively. The log-energies of both types of IMFs are calculated. There exist similarities between the IMF log-energy representation of fGn and unvoiced speech signals. Hence, the upper confidence limit from IMF log-energies of fGn is used as data adaptive threshold for VnV classification. If the subband log-energy of speech segment exceeds the threshold, the segment is classified as voiced and unvoiced otherwise. The experimental results show that the proposed algorithm performs better than the recently reported methods without requiring any training data for a wide range of SNRs.     

非线性减震器的多脉冲轨道和同宿树研究

针对一类非线性减震器,应用能量相位法研究了减震器系统在1∶0内共振,第一阶主共振情形下系统的多脉冲轨道和同宿树.首先,将系统的无量纲动力学控制方程转化为近可积哈密顿系统的标准形式.其次,研究了该系统的未扰动力学行为和扰动动力学行为,分析了耗散因子及相位漂移角对多脉冲轨道脉冲数和层半径的影响,揭示了这类非线性减震器能量从高频模态向低频模态转移的动力学机理.     

A Comparison of Mamdani and Sugeno Fuzzy Based Packet Scheduler for MANET with a Realistic Wireless Propagation Model

 The mobile nature of the nodes in a wireless mobile ad-hoc network (MANET) and the error prone link connectivity between nodes pose many challenges. These include frequent route changes, high packet loss, etc. Such problems increase the end-toend delay and decrease the throughput. This paper proposes two adaptive priority packet scheduling algorithms for MANET based on Mamdani and Sugeno fuzzy inference system. The fuzzy systems consist of three input variables: data rate, signal-to-noise ratio (SNR) and queue size. The fuzzy decision system has been optimised to improve its efficiency. Both fuzzy systems were verified using the Matlab fuzzy toolbox and the performance of both algorithms were evaluated using the riverbed modeler (formally known as OPNET modeler). The results were compared to an existing fuzzy scheduler under various network loads, for constant-bit-rate (CBR) and variable-bit-rate (VBR) traffic. The measuring metrics which form the basis for performance evaluation are end-to-end delay, throughput and packet delivery ratio. The proposed Mamdani and Sugeno scheduler perform better than the existing scheduler for CBR traffic. The end-to-end delay for Mamdani and Sugeno scheduler was reduced by an average of 52% and 54%, respectively. The performance of the throughput and packet delivery ratio for CBR traffic are very similar to the existing scheduler because of the characteristic of the traffic. The network was also at full capacity. The proposed schedulers also showed a better performance for VBR traffic. The end-to-end delay was reduced by an average of 38% and 52%, respectively. Both the throughput and packet delivery ratio (PDR) increased by an average of 53% and 47%, respectively. The Mamdani scheduler is more computationally complex than the Sugeno scheduler, even though they both showed similar network performance. Thus, the Sugeno scheduler is more suitable for real-time applications.     

Development and Verification of Simulation Model Based on Real MANET Experiments for Transport Layer Protocols （UDP and TCP）

There is a lack of appropriate guidelines for realistic user traces, mobility models, routing protocols, considerations of real-life challenges, etc. for general-purpose mobile ad hoc networks (MANET). In this paper, four laptops are used in an open field environment in four scenarios to evaluate the performances of Internet control message protocol (ICMP) based ping and transmission control protocol (TCP) based streaming video applications using optimised link state routing (OLSR) implementation in an IEEE 802.11g wireless network. Corresponding simulations are developed in Network Simulator ns-2 by setting simulation parameters according to the real experiments. Difficulties faced to regenerate real-life scenarios have been discussed and the gaps between reality and simulation are identified. A setup guideline to produce realistic simulation results has been established.     

蒸汽管网水力热力仿真系统及其应用

建立了蒸汽管网水力热力计算模型,通过迭代校正管段流量、管段平均密度和定压比热的方式,采用管网水力计算模型与热力计算模型相关联的节点方程法求解节点温度与节点压力。基于该计算模型,以数据库技术、仿真技术和可视化技术为支撑,成功开发出蒸汽管网水力热力计算仿真系统,实现了管网动态仿真数字化与模块化。以济南市典型蒸汽供热管网为例,对管网的水力和热力的工况进行了模拟计算,其计算结果与实际运行结果比较表明：该系统可用于蒸汽管网的设计计算、运行调节及其数值模拟。     

谈局域网硬件维护及网络安全

局域网作为小范围网络,其功能体现在信息资源的共享、相互间的信息资源交换、负荷分担协同工作等方面。因此,局域网的安全管理和维护就显得尤为重要。     

常用边缘检测方法分析与比较

论文对几种常用的图像边缘检测算法进行了分析,实际上这几种方法都在我们的生活生产乃至国防中得到了广泛的应用。论文在分析的基础上,进一步进行了比对说明,指出了它们各自的特点。