广义全保护的动态ASON规划研究

传送网络正由传统光网络向智能光网络演进,文章提出了"广义全保护的动态自动交换光网络(ASON)"的概念,该网络可满足无阻塞的动态业务提供和对于任何网络失效的完全可生存性.文章还讨论了满足如上要求的数学算法模型,阐述了该网络的容量规划问题.     

Minimal Energy Path Planning for Wireless Robots

In this paper, the problem of optimizing energy for communication and motion is investigated. We consider a single mobile robot with continuous high bandwidth wireless communication, e.g. caused by a multimedia application like video surveillance. This robot is connected to radio base station(s), and moves with constant speed from a given starting point on the plane to a target point. The task is to find the best path such that the energy consumption for mobility and the communication is optimized. This is motivated by the fact that the energy consumption of radio devices increases polynomially (at least to the power of two) with the transmission distance. We introduce efficient approximation algorithms to find the optimal path given the starting point, the target point and the position of the radio stations. We exemplify the influence of the communication cost by a starting scenario with one radio station. We study the performance of the proposed algorithm in simulation, compare it with the scenario without applying our approach, and present the results.

Time traps in supply chains: Is optimal still good enough?

Operations Researchers support Supply Chain Management and Supply Chain Planning by developing adequate mathematical optimization models and providing suitable solution procedures. In this paper we discuss what adequate could mean. Therefore, we may ask several questions concerning “optimality” in Supply Chain Planning under causal and temporal uncertainty: What is an optimal solution? When is it optimal? For how long is it optimal? How should the design of a supply chain be changed when conditions and requirements ask for new structures? In particular, we discuss new approaches to Supply Chain Planning in order to give an optimal transformation from an initial solution over multiple periods to a desired one rather than just specifying an optimal snapshot solution. Time and uncertainty are the factors triggering the whole discussion. In particular, several flaws often found when dealing with these factors result in so-called “time traps”. We look at the impact of recent technological developments like the Internet of Things or Industry 4.0 on operational supply chain planning and control, and we show how online optimization can help to cope with real-time challenges. Moreover, we re-coin the concept of risk in the realm of Supply Chain Planning. Here the question is how to measure supply chain specific risks and how to incorporate them “adequately” into mathematical models.     

小型仿人机器人的设计及步态规划

针对现有仿人形机器人造价高的缺点,设计一款低成本的小型双足机器人研究平台.根据人类步行过程及人体生理结构.依据模糊控制与专家控制相结合的理论提出一种简单的双足机器人模型.并根据仿生学原理确定机器人的自由度配置及各关节的比例尺寸.然后,利用目前通用的行为规划软件对双足机器人步态规划进行仿真.并在平坦地面上进行相应行走试验.实验证明.根据人行走模式对机器人进行步态规划的算法稳定可行.为机器人的教学和科研提供了良好的实验平台.     

基于SEC准则的油田开发规划不确定优化模型及算法

在油价低迷的国际背景下,上市石油公司进行油田开发规划时越来越重视经营效益。美国证券交易委员会(SEC)要求上市石油公司采用产量法计提折耗,极大地影响了石油公司开发规划方案的制定。油田开发受到自然、技术等多种不确定因素的影响,在制定开发规划时需充分考虑这些不确定性。本文基于不确定理论,考虑措施增油效果和新增投资两类不确定参数,以经营效益最大化和新增投资最小化为目标,构建了基于SEC准则的油田开发规划不确定优化模型,并利用差分进化算法求解,给出措施工作量的帕累托解集。本文以D油田年度规划为例,通过构建模型并求解,给出开发规划方案集,并进一步分析SEC储量的下降对上市石油公司经营效益、新增投资回报率、油气总产量、油气完全成本和措施工作量的影响,为企业制定开发规划方案提供参考。     

针对基于ASON的智能光网络的一些观点

本文对自动交换光网络(ASON)的引入时机和应用模式等问题提出了一些观点供业界参考.     

下一代DS-CDMA网络中的资源管理

直接序列码分多址接入(DS-CDMA)已成为下一代无线蜂窝网络中提供高速多媒体业务的主要接入技术。TD-SCDMA蜂窝网络与时分多址(TDMA)/频分多址(FDMA)网络有很大差别,前者独有的特征可用于提高系统容量。文中描述了DS-CDMA蜂窝网络中的资源管理,指出在资源管理机制设计中面临的主要挑战,讨论了资源管理的关键问题,包括拥塞控制、速率和功率控制、蜂窝规划和呼叫接入控制。     

灾后重建中农居建设规划探讨——以什邡市湔氐镇下院村为例

汶川地震灾后重建任务艰巨,农村地广人多,更是关键地区.灾民安置的紧迫性要求农居建设先行,相关规划跟进.针对非常规建设程序下的农村规划问题——防震减灾、规划选址、土地整治、产业规划、村民意愿等,以什邡市湔氐镇下院村为例进行研究,通过总结地震灾后农村重建规划经验,试图建立以快速安置为先导的震后农居规划模式.     

基于PSO的工业机器人时间-脉动最优轨迹规划

为提高工业机器人的工作效率,并且保持机器人关节平稳运动,提出一种基于粒子群优化算法的时间-脉动最优轨迹规划方案。通过权重法将多目标优化转化为单目标优化,再运用粒子群优化算法得到时间-脉动最优的运动轨迹。轨迹规划中,采用了关节空间五次非均匀B样条插值法,以确保脉动曲线的连续性。最后以GRB4016工业机器人为研究对象进行仿真实验,结果表明,该方案可以得到较理想的运动轨迹,并验证了方案的有效性。