A Dynamic Building Path Based on Method of Mobile Agent Referral Networks

The mobile agent is a computer program that is able to migrate continuously among hosts in a net- work and use host service to meet its task. The host, known as workplace, can be regarded as a proxy of social member. The sequence of workplaces on which the mobile agent completed its tasks is called path. In this paper, we propose a dynamic building method of mobile agent path with minimum payment based on referral. By referral, the next workplace of mobile agent can be recommended by the current workplace provider based on his acquaintance knowledge. The simulation results on a random network model show that the more acquaintance relationships there are on the referral network, the more efficiently the mo- bile agent path can be built, and the fewer costs need to be paid on the path.     

Balancing CapEx reduction and network stability with stable routing–virtual topology capacity adjustment (SR–VTCA)

This paper investigates the merits of the SR–VTCA (stable routing–virtual topology capacity adjustment) approach as a mechanism to find a beneficial trade-off between network stability and reduction in capital expenditures (CapEx). These are two main objectives for the entities that own the optical infrastructure, such as network operators (NOs), and those also acting as Internet service providers (ISPs). The SR–VTCA scheme is a novel approach to adapt transparent optical networks to time-varying traffic by adjusting the number of lightpaths between node pairs, while keeping the IP routing unchanged. Lightpath bundling (LB) and anycast (AS) switching are combined in SR–VTCA operation to advertise lightpath additions/removals to the IP layer as mere adjustments (increments or decrements) in the capacity, allowing to keep the IP routing stable, and thus, simplifying control plane operations. On the contrary, a fully-reconfigurable (FR) network design, where IP routing can be also modified, would increase the burden in the control plane, but at a higher CapEx reduction, since the optical infrastructure is used more efficiently. In this work, we investigate the CapEx overprovision introduced by SR–VTCA with respect to a FR scheme. In order to do this, SR–VTCA planning problem is first modeled as a MILP formulation. A heuristic procedure based on traffic domination is then proposed to solve large instances of the problem. Exhaustive experiments are conducted comparing the SR–VTCA solutions obtained by the aforementioned MILP and heuristic proposal with solutions found by other optimization methods presented in the literature to solve the FR planning problem. Finally, the results show that SR–VTCA can achieve similar results to the FR case in terms of CapEx reduction, while a huge number of IP reroutings are saved by maintaining IP stability. Thus, SR–VTCA provides an advantageous balance between CapEx overprovisioning and the control plane overhead associated with IP rerouting.     

线型双酚A酚醛树脂的合成

对线型双酚A酚醛树脂的合成工艺及催化剂浓度、种类、反应时间、醛酚比等影响因素进行了研究。结果表明,随着反应物醛酚比的增大,产物中残留的BPA量呈下降趋势,软化点先上升后下降,在1.2左右出现峰值;随反应时间延长,产物的软化点升高,分子质量增大,残留BPA量减少,分子质量分散性增加;催化剂用量增大,分子质量增大,软化点增高,残留BPA含量降低。合理的催化剂用量为m(BPA)∶m(催化剂)=100∶20。以合成的BPAN代替双氰胺(D ICY)作环氧树脂EB454A80的固化剂,在相同的固化工艺条件下,固化物的Tg提高近12℃。     

国产清梳联短绒的控制

阐述了短绒产生的原因与危害,分析了清梳联短绒增加较多的原因,提出了清梳联工序有效控制短绒的措施,认为应采取“连续喂棉、薄喂轻打”措施,减少纤维损伤;同时注意开松梳理适度,排除结杂和减少短绒兼顾。     

一种基于强化学习的指挥智能体控制方法

针对无人水下航行器(unmanned underwater vehicle,UUV)如何进行任务分配、航路规划、指挥控制问题, 提出一种新的控制实现方法。搭建UUV 指挥智能体训练平台,设计学习训练所需的想定,进行状态设计、数据适配、 决策解析和规则库建立,选定近端策略优化(proximal policy optimization,PPO)强化学习算法进行训练,并进行应用 验证。结果表明：指挥智能体能有效对UUV 进行任务分配、航路规划、指挥控制;通过不断优化算法,可提高战胜 基于规则的传统控制方法的胜率。     

A Study of an Intelligent Battlefield Damage Assessment System Based on a Multi-agent System

Battlefield damage assessment is the key to Battlefield Damage Assessment and Repair (BDAR).We present an Intelligent Battlefield Damage Assessment System (IBDAS) based on multi-agent system technology. We first establish the system framework, and then study the interior structure and workflow of a problem allocation agent. The result shows that, there are many advantages to resolve the problem of battlefield damage assessment by applying multi-agent system technology, and it will bring significant military benefit.     

磷酸酯化淀粉的高效湿法合成研究

本研究选用磷酸盐组合物,进行在低温下的淀粉高效磷酸酯化反应。结果表明,在湿法的低温条件下,采用适当的复合磷酸盐及反应促进体系,体系中淀粉浓度在40%～42%,磷酸氢二钠和磷酸二氢钠的比例为0.5,复合盐用量15%,pH保持在5～6之间,50℃反应5 h,Gx16在1%～5%的用量,可以显著提高淀粉的磷酸酯化程度(以结合磷含量表示),同时由于反应效率的提高,使湿法的反应均匀性,残留磷酸盐含量可控性,流程简洁、方便等优势得以突出,对比现实的生产工艺,该方法在稳定质量、节能降耗、减少污染排放等方面都极具优势,有重要的推广价值。     

新型核壳结构体膨堵漏剂STP的研究

由于目前普遍使用的桥塞堵漏剂在变形性和膨胀性方面都还存在较大的缺陷,因此开发出了新型体膨堵漏剂STP.该堵漏剂采取核壳结构模式,其核物质采用无机矿物质,可以增加堵漏剂的强度、调节堵漏剂的密度,且来源广泛便于控制成本;其壳物质采用了水溶性单体和疏水性单体共聚形成两亲互穿式网络聚合物结构,表面采用感温类疏水物质进一步改性,解决聚合体吸水无限膨胀与抗温的技术问题;其粒径可根据实际需要做任意加工处理,其膨胀性受颗粒大小的影响程度小,在0～3 h期间可持续膨胀,体积膨胀倍数可达到4～8倍,颗粒密度可根据需要在1.20～1.67 g/cm3范围内调整;可通过控制不同的碱量来控制膨胀体的膨胀倍数和膨胀速度,可利用井内温度提高膨胀量,与常规综合堵漏剂配合使用能大幅度减少漏失量和提高承压能力.     

基于TS-NGA的多作战智能体制导-攻击匹配优化

空中制导-攻击匹配(GAM)旨在确定武器单元、制导单元以及目标三者之间的最优匹配关系,以使多作战智能体任务联盟整体作战效能最大。分析了基于混合通信方式的多作战智能体制导-攻击匹配过程,建立制导攻击匹配约束优化问题模型,设计了一种禁忌策略的嵌套遗传算法(TS-NGA)对模型进行求解,算法的外层循环寻求武器单元和制导单元的最优配对,内层循环寻求武器单元和目标的最优配对。针对GAM问题特点,制定了编码与解码策略、交叉、变异规则以及选择、禁忌策略。仿真实验结果表明所设计求解算法能较好地解决三维变量的GAM问题模型。     

一种新型的适应于MANET的基于移动代理的对等入侵检测系统

移动自组织网络(Mobile Ad hoc Networks,MANET)是一种开放性的媒介系统,从而很容易受到黑客的入侵.提出了一种有效的适应于MANET的入侵检测系统,叫做MAPIDS(Mobile Agent-based Peer-to-peer Intrusion Detection System).该系统一旦发现网络中的可疑行为,就会引发一次集体投票过程,以确定该可疑行为是否是入侵行为,并根据投票结果作出相应的进一步处理.相比于其他同样基于集体决策机制的入侵检测系统,MAPIDS节省了更多的网络带宽和电池能耗,并且该系统不存在稀疏节点问题.