粒子群优化算法在企业财务危机预警中的应用

文章选取企业盈利能力作为企业财务预警指标,运用粒子群优化算法,对样本进行指标分析,得出企业财务预警模型的分析结论,对企业经营决策起到重要的参考和指导性作用。     

Analysis of conjugate gradient algorithms for adaptive filtering

The paper presents and analyzes two approaches to the implementation of the conjugate gradient (CG) algorithm for filtering where several modifications to the original CG method are proposed. The convergence rates and misadjustments for the two approaches are compared. An analysis in the z-domain is used in order to find the asymptotic performance, and stability bounds are established. The behavior of the algorithms in finite word-length computation are described, and dynamic range considerations are discussed. It is shown that in finite word-length computation and close to steady state, the algorithms' behaviors are similar to the steepest descent algorithm, where the stalling phenomenon is observed. Using 16-bit fixed-point number representation, our simulations show that the algorithms are numerically stable     

CAD-guided sensor planning for dimensional inspection in automotive manufacturing

This paper addresses the vision-sensor-planning problem in part-dimensional inspection of automotive parts. First, a CAD-guided camera-planning system is developed, which utilizes the CAD information of inspected parts and a camera model to plan camera viewpoints. A recursive algorithm, which combines two existing vision-sensor-planning approaches, is developed to find feasible viewpoints. Second, to improve the performance of the eye-in-hand robot and reduce the computational cost of the robot placement problem, a new approach is developed to integrate the kinematics constraint into vision sensor planning. Experimental and simulation results demonstrate the effectiveness of our vision-sensor-planning system.     

Ethernet/IP工业以太网的研究及应用

介绍了工业以太网的发展改进状况,对Ethernet/IP这种新型工业以太网的协议模型及其采用的"生产者/消费者"通讯模式和面向"连接"的,CIP(Common Industrial Protocol,CIP)报文通信机制做了详细分析,同时指出了Ether-net/IP网络应用在工业控制领域的优势。提出了Ethernet/IP工业以太网在高速公路隧道监控中具体的组网方案和通讯设置手段,利用Ethernet/IP网络成功地实现了对该高速公路隧道的良好监控。     

WSN Deployment and Localization Using a Mobile Agent

To address the problem the sensors were typically deployed in fixed positions, but the robots can be used to calibrate, deploy and maintain the surrounding wireless sensor network (WSN) in disaster relief applications, a novel framework was proposed to obtain a wide coverage of the unknown environment by the sensors, which can help the robot during the disaster recovery activities, for the concurrent deployment and localization of a WSN by means of a mobile robot. During the mission, the robot explored an unknown environment, and was equipped with both proprioceptive sensors, range finders and wireless antennas. Moreover, the robot carried a set of nodes, and it can deploy them while exploring the unknown environment. Variou experimental results showd the proposed algorithm can outperform trilateration method in unknown environment exploration and network coverage problems.     

Learning a Deep Metric: A Lightweight Relation Network for Loop Closure in Complex Industrial Scenarios

The similarity metric in Loop closure detection (LCD) is still considered in an old fashioned way, i.e. to pre-define a fixed distance function, leading to a limited performance. This paper proposes a general framework named LRN-LCD, i.e. a Lightweight relation network for LCD, which combines the feature extraction module and similarity metric module into a simple and lightweight network. The LRN-LCD, an end-to-end framework, can learn a non-linear deep similarity metric to detect loop closures from different scenes. Moreover, the LRN-LCD supports image sequences as input to speed up the similarity metric in real-time applications. Extensive experiments on several open datasets illustrate that LRN-LCD is more robust to strong condition variations and viewpoint variations than the mainstream methods.     

基于Freeman链码的岩心交叉裂缝分离算法

在石油地质领域中,裂缝研究是油气勘探的重点.而且,岩心裂缝统计参数分析的准确程度,对油气勘探开发和提升采收率都有着一定程度的影响.由于岩心裂缝中存在大量的交叉裂缝,会对裂缝的统计和计算裂缝的分布特征造成影响.因此,本文在识别岩心裂缝的基础上,通过改进Freeman链码直线检测算法,对细化后的交叉裂缝骨架进行分离;通过分...     

WDM网络中基于物理损伤的组播节能保护算法

针对存在物理损伤约束的生存性组播网络中的能耗问题,提出了一种基于物理损伤的组播节能保护算法。该算法通过修改工作、保护链路的能耗代价,优化工作、保护路径选择,再进行物理损伤约束判断,在工作、保护路径满足物理损伤约束的条件下实现网络能耗最小化。仿真结果表明,该算法在满足物理损伤约束的条件下,可以降低网络能耗。     

高压变频在600MW火电厂10kV凝结泵上的应用

本文介绍了级联多单元高压变频调速装置在600MW空冷发电机组凝结水泵节能改造中的应用，简述了装置的工作原理和“一拖二”连接方法，并进行了节能经济分析。     

Robust Design of Virtual Topology for WDM Networks under Bandwidth Demand Uncertainties

In this paper, a novel method is proposed to address the problem of designing virtual topology over wavelength division multiplexing （WDM） networks under bandwidth demand uncertainties. And a bandwidth demand model under uncertainties is presented. The optimization goal of virtual topology design is defined as minimizing the maximum value amongp percentiles of the bandwidth demand distribution on all Hght-paths. Correspondingly, we propose a heuristic algorithm called an improved decreasing multi-hop logical topology design algorithm （ID-MLTDA） that involves with a degree of uncertainties to design virtual topology. The proposed algorithm yields better performance than previous algorithms. Additionally, the simplicity and efficiency of the proposed algorithm can be in favor of the feasibility for topology design of large networks.