Skeleton-based intrinsic symmetry detection on point clouds

We present a skeleton-based algorithm for intrinsic symmetry detection on imperfect 3D point cloud data. The data imperfections such as noise and incompleteness make it difficult to reliably compute geodesic distances, which play essential roles in existing intrinsic symmetry detection algorithms. In this paper, we leverage recent advances in curve skeleton extraction from point clouds for symmetry detection. Our method exploits the properties of curve skeletons, such as homotopy to the input shape, approximate isometry-invariance, and skeleton-to-surface mapping, for the detection task. Starting from a curve skeleton extracted from an input point cloud, we first compute symmetry electors, each of which is composed of a set of skeleton node pairs pruned with a cascade of symmetry filters. The electors are used to vote for symmetric node pairs indicating the symmetry map on the skeleton. A symmetry correspondence matrix (SCM) is constructed for the input point cloud through transferring the symmetry map from skeleton to point cloud. The final symmetry regions on the point cloud are detected via spectral analysis over the SCM. Experiments on raw point clouds, captured by a 3D scanner or the Microsoft Kinect, demonstrate the robustness of our algorithm. We also apply our method to repair incomplete scans based on the detected intrinsic symmetries.     

On Detectability and Observability of Discrete‐Time Stochastic Markov Jump Systems with State‐Dependent Noise

This paper mainly studies the notions of detectability and observability for discrete‐time stochastic Markov jump systems with state‐dependent noise. Two concepts, called “W‐detectability” and “W‐observability,” for such systems are introduced, and are shown to coincide with the other concepts on detectability and observability reported recently in literature. Moreover, some criteria and interesting properties for both W‐detectability and W‐observability are obtained.     

An improved ant colony optimization for scheduling identical parallel batching machines with arbitrary job sizes

In this paper we consider the problem of scheduling parallel batching machines with jobs of arbitrary sizes. The machines have identical capacity of size and processing velocity. The jobs are processed in batches given that the total size of jobs in a batch cannot exceed the machine capacity. Once a batch starts processing, no interruption is allowed until all the jobs are completed. First we present a mixed integer programming model of the problem. We show the computational complexity of the problem and optimality properties. Then we propose a novel ant colony optimization method where the Metropolis Criterion is used to select the paths of ants to overcome the immature convergence. Finally, we generate different scales of instances to test the performance. The computational results show the effectiveness of the algorithm, especially for large-scale instances.     

Second-order consensus of multi-agent systems with unknown but bounded disturbance

This paper addresses a consensus problem for second-order agents with unknown but bounded (UBB for short) disturbance which may affect the measure of neighbors’ velocities. In this study, the communication topology of the multi-agent system is supposed to be connected. In order to solve this consensus problem, a new velocity estimation called distributed lazy rule is firstly proposed, where each agent can estimate its neighbors’ velocities one by one. Then, a group of sufficient conditions for this second-order consensus problem are presented by adopting graph theory and the well-known Barbalat lemma, and the bounded consensus protocol is taken into account due to actuator saturation. Theoretically, the group of agents can reach consensus under the proposed control protocol, which is also validated by some numerical experiments.     

Multiconsensus of second order multiagent systems with directed topologies

A novel multiconsensus problem is introduced in multiagent systems. The states of multiple agents in each subnetwork asymptotically converge to a consistent value with information exchanges among subnetworks. The multiconsensus problem of second order multiagent systems with directed topologies is studied. Three linear protocols are proposed to solve the multiconsensus problem. Necessary and sufficient conditions are derived based on matrix theory. Simulations are provided to demonstrate the effectiveness of the theoretical results.     

巧用Hybrid端口技术解决多VLAN PPPoE认证难题

PPPoE是一种广受欢迎的网络接入方式,随着网络设备制造技术的发展,目前市面上出现了较多集成的功能较为简单的PPPoE server的网络设备,很多集成的PPPoE server只能在一个VLAN上正常工作,而无法完成其他VLAN上的PPPoE认证,形成了一个多VLAN环境中的PPPoE认证难题。详细分析了VLAN、PPPoE技术原理以及多VLAN环境中PPPoE认证难题出现的原因,结合作者在网络实践中的案例,介绍了一种巧妙运用Hybrid端口技术解决该难题的方法。     

基于多特征分布式拒绝服务攻击的检测

分布式拒绝服务(DDoS)攻击是目前网络安全领域的一个热门话题.文章提出了一个IP流交互算法(IFI),它融合了正常流和DDoS攻击流的多特征,用IFI时间序列描述了网络流量的状态,并提出一种基于IFI时间序列的高效率的DDoS攻击检测方法(DADF).实验结果表明,IFI能很好地融合正常流和DDoS攻击流的多特征,它能有效地从正常流中区分DDoS攻击流;DADF能快速检测DDoS攻击,并且在复杂的情况下具有较高的检测率和低误报率.     

Analysis,design,and experimental evaluation of power calculation in digital droop-controlled parallel microgrid inverters

Parallel operation of distributed generation is an important topic for microgrids,which can provide a highly reliable electric supply service and good power quality to end customers when the utility is unavailable.However,there is a well-known limitation:the power sharing accuracy between distributed generators in a parallel operation.Frequency and voltage droop is a well-established control method for improving power sharing performance.In this method,the active and reactive power calculations are used to adjust the frequency and amplitude of the output voltage.This paper describes the digital implementation of a droop method,and analyzes the influence of power calculation on droop method performance.According to the analysis,the performance of droop control in a digital control system is limited by the accuracy and speed of the power calculation method.We propose an improved power calculation method based on p-q theory to improve the performance of the droop control method,and we compare our new method with two traditional power calculation methods.Finally,simulation results and experimental results from a three single-phase 1-kW-inverter system are presented,which validate the performance of our proposed method.     

大同县陈庄水库改建溢洪道的水力学设计

陈庄水库是一座综合防洪、灌溉的小（1）型水库,文中从工程初步设计的角度,介绍了陈庄水库除险加固工程中溢洪道的设计。     

粗糙集在基于神经网络的入侵检测系统的探讨

随着计算机网络的发展,传统的计算机安全理论己不能适应网络环境的发展变化。传统的入侵检测系统在有效性、适应性和可扩展性方面存在一定的不足。因此,神经网络、遗传算法、粗糙集等理论被不断引入到入侵检测领域,来提高入侵检测的性能。本文主要是在对提高入侵检测能力的有效手段方面作了一些探讨。