A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

Optimization of beamforming and path planning for UAV-assisted wireless relay networks

Recently, unmanned aerial vehicles （UAVs） acting as relay platforms have attracted considerable attention due to the advantages of extending coverage and improving connectivity for long-range communications. Specifically, in the scenario where the access point （AP） is mobile, a UAV needs to find an efficient path to guarantee the connectivity of the relay link. Motivated by this fact, this paper proposes an optimal design for beamforming （BF） and UAV path planning. First of all, we study a dual-hop amplify-and-forward （AF） wireless relay network, in which a UAV is used as relay between a mobile AP and a fixed base station （BS）. In the network, both of the AP and the BS are equipped with multiple antennas, whereas the UAV has a single antenna. Then, we obtain the output signal~to-noise ratio （SNR） of the dual-hop relay network. Based on the criterion of maximizing the output SNR, we develop an optimal design to obtain the solution of the optimal BF weight vector and the UAV heading angle. Next, we derive the closed-form outage probability （OP） expression to investigate the performance of the dual-hop relay network conveniently. Finally, computer simulations show that the proposed approach can obtain nearly optimal flying path and OP performance, indicating the effectiveness of the proposed algorithm. Furthermore, we find that increasing the antenna number at the BS or the maximal heading angle can significantly improve the performance of the considered relay network.     

基于模块度的复杂网络社团结构聚类新算法

针对传统的分裂聚类算法删除连边会影响节点划分的问题,结合K-means算法的思想并加以改进,提出了一种以邻居节点为聚类备选集,所有社团中心节点同时聚类的同步聚类算法。该算法根据节点中心度和最短路变化率确定社团中心节点集,然后以中心节点为社团中心,以邻居节点为聚类备选集合进行聚类,完成社团的划分。将算法应用到Zachary网络中并与GN算法、Top Leader算法进行比较,仿真结果表明该算法对网络有较好的划分。     

无线传感器网络时间同步协议动态切换机制

针对当前无线传感器网络时间同步协议通用性差的问题,提出了基于主动编程思想的时间同步协议动态切换机制,设计了能够动态适配的时间同步协议切换框架,重点讨论了节点间相互通信、时间戳标记、协议切换、本地时间与全局时间的转换等4个关键问题,并且在TinyOS（Tiny Operating System,微操作系统）平台上对新机制进行了仿真验证,比较了新机制同2种主流时间同步协议之间的性能差异.仿真结果表明：新机制能实现时间同步协议的动态配置,提高协同效率,节省切换开销,具有良好的应用前景.     

基于BP网络的机组工作量评估方法研究

为研究机组工作量的评估问题,搭建了模拟飞行实验平台,设定了7种不同负荷的飞行任务。模拟飞行中,对被试的生理指标进行测量,并采集其主观评价值。采用BP网络进行数学建模,将生理指标测量值作为输入、NASA-TLX表法的评价值作为输出,利用输入、输出模式对对网络进行训练,并对该方法进行验证。结果表明,基于BP网络的机组工作量评估方法,较传统方法更为稳定、精确,且大大降低了被试数量。提高训练模式对的数量、简化生理指标的测量过程,并保证测量精度是该方法成功的关键。     

基于区域划分的LEO卫星星座QoS路由算法

针对LEO卫星网络中由于流量分布不均导致的拥塞问题,以及多种通信业务带来的QoS保障问题,提出了基于区域划分的多业务QoS路由算法(MSR-RP).算法考虑了信关站有限分布造成的漏斗流量问题,一方面通过划分动态区域,减少区域节点数量,降低了算法整体计算复杂度;另一方面,在轻负载区域采用最短路径算法计算路由,重负载区域采...     

序言CSCD

北斗全球卫星导航系统的建成、应用奠定了我国自主时空信息服务基础,随之我国进入综合PNT体系发展建设新阶段。综合PNT体系将以北斗系统为核A通过多类PNT技术手段协同与融合应用,实现更为精准、泛在和智能的PNT服务能力。通导一体化作为综合PNT核心手段之一,得益于通信极其广泛的覆盖性及日益增强的信息传输能力,依托通信网络对卫星导航系统进行补充、备份和增强,展现出显著的协同优势,因此也成为了领域研究的热点方向。     

《电子商务实务》课程教学改革探索

网络环境下,传统的教学手段和教学模式已不能完全满足电子商务实务课程的教学需要.论文首先指出了桂林航专电子商务实务课程教学中存在的问题,分析了网络环境下该课程教学的特点与优势,并结合笔者的教学实践,探讨了基于网络进行教学改革的方法与思路.     

扇区繁忙时段交通流的不均衡度量化研究

以容流量及拥挤度等指标进行的空中交通运行评价无法全面反映空中交通的实际运行状况.在依据重要点对航路段进行分组的基础上,通过计算超容比,确定了扇区繁忙时段,基于多项式二次拟合分析了超容比与基尼系数以及泰尔指数之间的数量关系,基于3σ原则确定了不同超容比情况下的理想不均衡度的取值范围.应用方法对厦门1号扇区的实际运行数据进行了计算分析,验证了不均衡度量化方法的适用性.     

锦城夜话(2)

两个人在云端摆的龙门阵随着网络技术的发展普及,现今大凡有围棋爱好的痴迷者,得闲便在电脑上与看不见的对手杀一盘,乐此不疲。朋友以为,此亦是一种雅癖。因为琴棋书画乃中国古代四大艺术,其中,围棋从尧舜制造它的那一天起,就是为了开发人的智慧,纯洁人的情性。